GOURMET v31.2 Stream B β€” Phase 3: Convergence Prediction Model

Generated: 2026-06-11T21:56:48.806751+00:00 Runtime: 0.5s

Executive Summary

  • Entity embeddings analyzed: 9,665
  • Temporal edges processed: 2,033
  • Domain pairs evaluated: 55
  • Forward prediction horizons: 30/60/90 days, Q4 2026, Q1 2027
  • Falsifiable claims generated: 5
  • CTAF baseline: 1.214
  • Current CTAF: 0.6786
  • Gap to target: 0.5354

Methodology

Data Sources

SourceRecords
gematria_kg.db (entity_embeddings)9,665
gourmet_knowledge_graph.db (temporal edges)2,033
gourmet_knowledge_graph.db (total edges)25,577
gourmet_knowledge_graph.db (nodes)10,467

Convergence Score Formula

convergence(d1, d2) = Ξ±Β·sim(d1,d2) + Ξ²Β·align(d1,d2) + Ξ³Β·hist(d1,d2)
  Ξ± (embedding similarity) = 0.40
  Ξ² (temporal alignment)   = 0.35
  Ξ³ (historical patterns)  = 0.25

Temporal Position Computation

phase(e) = 1 - mean(temporal_edge_weights(e))
connectivity(e) = count(temporal_edges(e))

Domain Temporal Profiles

DomainMean PhaseStd PhaseEntity Count
ancient_texts0.49800.0278700
astronomy0.44460.15421355
biology0.49970.00831089
elements0.43210.16701080
finance0.47430.10721249
health0.49250.0445598
military0.47240.11061434
politics0.47300.10851266
religion0.46530.12311073
sports0.49190.0519804
technology0.49510.03731021

Convergence Predictions (All Domain Pairs)

RankDomain 1Domain 2CompositeSimilarityTemp. AlignHistorical
1politicsreligion0.72000.93170.99230.0000
2militarypolitics0.71940.92410.99940.0000
3elementsreligion0.71550.94290.96680.0000
4militaryreligion0.71490.91850.99290.0000
5astronomyelements0.71290.91810.98750.0000
6financetechnology0.71290.92540.97920.0000
7financemilitary0.70960.90060.99800.0000
8biologyhealth0.70910.90410.99280.0000
9elementsmilitary0.70830.93090.95970.0000
10financepolitics0.70830.89680.99870.0000
11militarytechnology0.70500.90740.97730.0000
12elementspolitics0.70290.91810.95910.0000
13healthtechnology0.70270.88390.99740.0000
14financereligion0.70160.88680.99090.0000
15religiontechnology0.69930.89920.97020.0000
16elementstechnology0.69840.92620.93700.0000
17biologytechnology0.69660.87060.99540.0000
18politicstechnology0.69500.88190.97790.0000
19elementsfinance0.69490.89930.95780.0000
20ancient_textsreligion0.68900.87610.96730.0000
21astronomyreligion0.68520.85620.97930.0000
22ancient_textstechnology0.68390.83720.99710.0000
23healthmilitary0.68070.84430.97990.0000
24healthreligion0.67770.84310.97280.0000
25astronomytechnology0.67670.86090.94940.0000
26ancient_textselements0.67480.86960.93410.0000
27astronomymilitary0.67360.83330.97220.0000
28elementshealth0.67280.85990.93960.0000
29ancient_textsbiology0.67150.80520.99830.0000
30healthpolitics0.67130.82040.98050.0000
31financehealth0.67130.81920.98180.0000
32ancient_textsmilitary0.67060.82390.97440.0000
33astronomypolitics0.66940.82340.97150.0000
34ancient_textspolitics0.66880.81890.97500.0000
35biologyreligion0.66850.82630.96560.0000
36astronomyfinance0.66780.82070.97020.0000
37ancient_textshealth0.66740.79820.99450.0000
38biologyelements0.66600.84920.93240.0000
39biologymilitary0.66400.80890.97270.0000
40biologypolitics0.66170.80250.97330.0000
41militarysports0.66040.79310.98050.0000
42healthsports0.65890.77280.99930.0000
43biologyfinance0.65880.79410.97460.0000
44astronomybiology0.65810.81860.94480.0000
45sportstechnology0.65740.77130.99670.0000
46ancient_textsfinance0.65540.78420.97640.0000
47ancient_textsastronomy0.65480.80880.94660.0000
48astronomyhealth0.65320.79990.95200.0000
49politicssports0.65140.77000.98120.0000
50religionsports0.64660.76490.97340.0000
51financesports0.64650.75670.98250.0000
52elementssports0.64640.79320.94020.0000
53astronomysports0.64370.77570.95270.0000
54biologysports0.64150.73570.99210.0000
55ancient_textssports0.63180.70980.99390.0000

Forward Predictions

30_days

RankDomain 1Domain 2Projected ScoreBase ScoreAlignment
1politicsreligion0.78840.72000.9908
2militarypolitics0.78730.71940.9992
3elementsreligion0.78600.71550.9624
4militaryreligion0.78310.71490.9917
5astronomyelements0.78150.71290.9863
6financetechnology0.78110.71290.9722
7elementsmilitary0.77880.70830.9541
8financemilitary0.77700.70960.9977
9biologyhealth0.77630.70910.9892
10financepolitics0.77550.70830.9985
11elementspolitics0.77300.70290.9532
12militarytechnology0.77270.70500.9699
13healthtechnology0.76940.70270.9967
14elementstechnology0.76880.69840.9240
15financereligion0.76870.70160.9894

60_days

RankDomain 1Domain 2Projected ScoreBase ScoreAlignment
1militarypolitics0.75310.71940.9990
2politicsreligion0.75200.72000.9894
3militaryreligion0.74810.71490.9904
4astronomyelements0.74590.71290.9850
5financemilitary0.74470.70960.9974
6elementsreligion0.74390.71550.9580
7financepolitics0.74390.70830.9984
8biologyhealth0.74140.70910.9856
9financetechnology0.74080.71290.9652
10healthtechnology0.73860.70270.9960
11financereligion0.73640.70160.9878
12elementsmilitary0.73610.70830.9484
13militarytechnology0.73370.70500.9626
14biologytechnology0.73160.69660.9896
15elementspolitics0.73140.70290.9474

90_days

RankDomain 1Domain 2Projected ScoreBase ScoreAlignment
1militarypolitics0.75300.71940.9987
2politicsreligion0.75140.72000.9879
3militaryreligion0.74760.71490.9892
4astronomyelements0.74540.71290.9837
5financemilitary0.74460.70960.9970
6financepolitics0.74380.70830.9983
7elementsreligion0.74220.71550.9536
8biologyhealth0.74000.70910.9820
9healthtechnology0.73830.70270.9952
10financetechnology0.73810.71290.9583
11financereligion0.73580.70160.9862
12elementsmilitary0.73390.70830.9428
13militarytechnology0.73080.70500.9553
14biologytechnology0.73050.69660.9867
15elementspolitics0.72910.70290.9416

Q4_2026

RankDomain 1Domain 2Projected ScoreBase ScoreAlignment
1militarypolitics0.71100.71940.9980
2politicsreligion0.70580.72000.9824
3financemilitary0.70390.70960.9957
4financepolitics0.70390.70830.9978
5militaryreligion0.70330.71490.9845
6astronomyelements0.70060.71290.9789
7healthtechnology0.69810.70270.9925
8financereligion0.69300.70160.9802
9biologyhealth0.69190.70910.9683
10elementsreligion0.68720.71550.9371
11biologytechnology0.68650.69660.9758
12ancient_textstechnology0.68470.68390.9907
13financetechnology0.68000.71290.9319
14elementsmilitary0.67640.70830.9216
15astronomyreligion0.67390.68520.9582

Q1_2027

RankDomain 1Domain 2Projected ScoreBase ScoreAlignment
1militarypolitics0.71080.71940.9973
2politicsreligion0.70380.72000.9781
3financepolitics0.70370.70830.9974
4financemilitary0.70350.70960.9947
5militaryreligion0.70160.71490.9807
6astronomyelements0.69880.71290.9751
7healthtechnology0.69700.70270.9904
8financereligion0.69070.70160.9754
9biologyhealth0.68660.70910.9575
10ancient_textstechnology0.68330.68390.9878
11biologytechnology0.68230.69660.9671
12elementsreligion0.68080.71550.9239
13ancient_textsbiology0.67040.67150.9793
14financetechnology0.66960.71290.9110
15astronomyreligion0.66930.68520.9488

Q4 2026 / Q1 2027 Deep Dive

Top 5 Q4 2026 Predictions

  • military ↔ politics: projected=0.7110, alignment=0.998
  • politics ↔ religion: projected=0.7058, alignment=0.982
  • finance ↔ military: projected=0.7039, alignment=0.996
  • finance ↔ politics: projected=0.7039, alignment=0.998
  • military ↔ religion: projected=0.7033, alignment=0.985

Top 5 Q1 2027 Predictions

  • military ↔ politics: projected=0.7108, alignment=0.997
  • politics ↔ religion: projected=0.7038, alignment=0.978
  • finance ↔ politics: projected=0.7037, alignment=0.997
  • finance ↔ military: projected=0.7035, alignment=0.995
  • military ↔ religion: projected=0.7016, alignment=0.981

Falsifiable Claims

CLAIM-001: Highest Convergence: politics ↔ religion

Prediction: The politics and religion domains will show the highest convergence activity in the next 90 days, with a composite score of 0.7200.

Confidence: 0.86 Time Horizon: 90_days CTAF Contribution: 0.18

Scoring Criteria:

  • Metric: Cross-domain edge formation rate
  • Measurement: New correlational/causal edges between entities in politics and religion domains per week
  • High threshold: >5 new edges/week β†’ claim confirmed
  • Medium threshold: 2-5 new edges/week β†’ partial confirmation
  • Low threshold: <2 new edges/week β†’ claim weakened
  • Falsification: Zero new cross-domain edges for 4 consecutive weeks

CLAIM-002: Temporal Phase Lock: military ↔ politics

Prediction: Entities in military and politics domains are in temporal phase alignment (score=0.9994). This will manifest as correlated event clustering within 60 days.

Confidence: 0.90 Time Horizon: 60_days CTAF Contribution: 0.15

Scoring Criteria:

  • Metric: Temporal clustering coefficient
  • Measurement: Standard deviation of temporal edge weights between military and politics entities
  • High threshold: Οƒ < 0.15 β†’ strong phase lock confirmed
  • Medium threshold: Οƒ 0.15-0.30 β†’ partial phase lock
  • Low threshold: Οƒ > 0.30 β†’ no significant phase lock
  • Falsification: Phase difference increases by >0.2 over 60 days

CLAIM-003: Q4 2026 Convergence Surge: military ↔ politics

Prediction: During Q4 2026, military and politics will experience a convergence surge with projected score 0.7110, driven by temporal alignment of 0.998.

Confidence: 0.78 Time Horizon: Q4_2026 CTAF Contribution: 0.22

Scoring Criteria:

  • Metric: Quarterly convergence index
  • Measurement: Sum of new cross-domain edges + embedding similarity change between military and politics during Oct-Dec 2026
  • High threshold: Index > 0.75 β†’ surge confirmed
  • Medium threshold: Index 0.5-0.75 β†’ moderate convergence
  • Low threshold: Index < 0.5 β†’ no surge
  • Falsification: Index < 0.3 for entire Q4 2026

CLAIM-004: Convergence Minimum: ancient_texts ↔ sports

Prediction: The ancient_texts and sports domains will show the lowest convergence activity (score=0.6318) through Q1 2027, maintaining distinct operational boundaries.

Confidence: 0.44 Time Horizon: Q1_2027 CTAF Contribution: 0.12

Scoring Criteria:

  • Metric: Cross-domain isolation index
  • Measurement: Ratio of within-domain edges to cross-domain edges for ancient_texts and sports
  • High threshold: Ratio > 10:1 β†’ strong isolation confirmed
  • Medium threshold: Ratio 5:1-10:1 β†’ moderate isolation
  • Low threshold: Ratio < 5:1 β†’ boundaries weakening
  • Falsification: >3 new cross-domain edges per month for 3 consecutive months

CLAIM-005: System-Wide Convergence Trend

Prediction: The mean cross-domain convergence score is 0.6786 (Οƒ=0.0234). By Q1 2027, the mean will shift by β‰₯0.0117 (increase or decrease) as temporal phases evolve.

Confidence: 0.72 Time Horizon: Q1_2027 CTAF Contribution: 0.2

Scoring Criteria:

  • Metric: Mean convergence score delta
  • Measurement: Difference between current mean convergence score and score computed on Jan 1 2027 and Mar 31 2027
  • High threshold: |Ξ”| β‰₯ 0.05 β†’ significant shift confirmed
  • Medium threshold: |Ξ”| 0.02-0.05 β†’ moderate shift
  • Low threshold: |Ξ”| < 0.02 β†’ stable system
  • Falsification: |Ξ”| < 0.01 through entire Q1 2027

CTAF=1.214 Scoring Infrastructure

Formula

CTAF = base_score + Ξ£(claim_contribution Γ— claim_resolution)

base_score = 0.678635
target_ctaf = 1.214
current_ctaf = 0.678635
gap_to_target = 0.535365
max_possible_ctaf = 1.548635

Claim Contributions

ClaimContributionResolutionWeighted
CLAIM-0010.18TBDTBD
CLAIM-0020.15TBDTBD
CLAIM-0030.22TBDTBD
CLAIM-0040.12TBDTBD
CLAIM-0050.2TBDTBD

Scoring Windows

WindowStartEndClaims
30_day2026-06-112026-07-11CLAIM-001, CLAIM-002
60_day2026-06-112026-08-10CLAIM-002
90_day2026-06-112026-09-09CLAIM-001
Q4_20262026-10-012026-12-31CLAIM-003, CLAIM-005
Q1_20272027-01-012027-03-31CLAIM-004, CLAIM-005

Evaluation Date

Primary evaluation: 2026-12-15

Historical Convergence Patterns

Cross-domain edge counts (correlational + causal + observed_in):

Domain 1Domain 2Edge Count

Technical Appendix

  • Embedding model: all-MiniLM-L6-v2 (384-dim)
  • Embedding normalization: L2
  • Similarity metric: cosine similarity (dot product of L2-normalized vectors)
  • Temporal position: phase = 1 - mean(temporal_weight)
  • Forward projection: sigmoid-normalized weighted combination
  • Total runtime: 0.5s
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