v31 2 convergence prediction

Version: v31.2
Date: 2025-01-01

Generated: 2026-08-16T11:14:23.931344+00:00 Runtime: 0.9s

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: 0.6623
Gap to target: 0.5517

Methodology

Data Sources

Source	Records
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) = α·sim(d1,d2) + β·align(d1,d2) + γ·hist(d1,d2)
  α (embedding similarity) = 0.40
  β (temporal alignment)   = 0.35
  γ (historical patterns)  = 0.25

Temporal Position Computation

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

Domain Temporal Profiles

Domain	Mean Phase	Std Phase	Entity Count
ancient_texts	0.1480	0.1089	4
astronomy	0.0475	0.1203	166
biology	0.4370	0.1057	5
elements	0.0786	0.1552	174
finance	0.0891	0.1603	78
health	0.3757	0.1356	36
military	0.0960	0.1643	98
politics	0.0980	0.1570	85
religion	0.0861	0.1538	90
sports	0.3363	0.1693	40
technology	0.3720	0.1437	39

Convergence Predictions (All Domain Pairs)

Rank	Domain 1	Domain 2	Composite	Similarity	Temp. Align	Historical
1	astronomy	elements	0.9564	0.9181	0.9689	1.0000
2	elements	military	0.8423	0.9309	0.9826	0.5042
3	military	politics	0.8376	0.9241	0.9980	0.4747
4	elements	religion	0.8374	0.9429	0.9924	0.4514
5	military	religion	0.8290	0.9185	0.9902	0.4602
6	elements	politics	0.8173	0.9181	0.9806	0.4272
7	finance	military	0.8171	0.9006	0.9931	0.4369
8	politics	religion	0.8157	0.9317	0.9881	0.3885
9	elements	finance	0.8042	0.8993	0.9895	0.3929
10	finance	politics	0.8009	0.8968	0.9911	0.3810
11	finance	religion	0.7937	0.8868	0.9970	0.3599
12	astronomy	religion	0.7929	0.8562	0.9613	0.4558
13	astronomy	military	0.7870	0.8333	0.9515	0.4826
14	astronomy	politics	0.7590	0.8234	0.9494	0.3894
15	astronomy	finance	0.7512	0.8207	0.9583	0.3502
16	health	technology	0.7023	0.8839	0.9963	0.0000
17	biology	health	0.6903	0.9041	0.9387	0.0004
18	ancient_texts	religion	0.6829	0.8761	0.9382	0.0163
19	ancient_texts	elements	0.6778	0.8696	0.9306	0.0172
20	biology	technology	0.6755	0.8706	0.9350	0.0000
21	ancient_texts	military	0.6662	0.8239	0.9480	0.0194
22	ancient_texts	politics	0.6642	0.8189	0.9500	0.0167
23	ancient_texts	finance	0.6465	0.7842	0.9411	0.0136
24	sports	technology	0.6460	0.7713	0.9643	0.0000
25	health	sports	0.6453	0.7728	0.9606	0.0000
26	ancient_texts	astronomy	0.6411	0.8088	0.8995	0.0110
27	finance	technology	0.6211	0.9254	0.7171	0.0000
28	elements	technology	0.6178	0.9262	0.7066	0.0000
29	military	technology	0.6164	0.9074	0.7240	0.0000
30	religion	technology	0.6096	0.8992	0.7141	0.0000
31	biology	sports	0.6090	0.7357	0.8993	0.0000
32	politics	technology	0.6069	0.8819	0.7260	0.0000
33	ancient_texts	technology	0.6065	0.8372	0.7760	0.0000
34	elements	health	0.5900	0.8599	0.7029	0.0000
35	health	military	0.5898	0.8443	0.7203	0.0000
36	ancient_texts	health	0.5896	0.7982	0.7723	0.0000
37	health	religion	0.5859	0.8431	0.7104	0.0000
38	military	sports	0.5831	0.7931	0.7597	0.0000
39	health	politics	0.5810	0.8204	0.7223	0.0000
40	astronomy	technology	0.5808	0.8609	0.6754	0.0000
41	finance	health	0.5774	0.8192	0.7134	0.0000
42	elements	sports	0.5771	0.7932	0.7423	0.0000
43	politics	sports	0.5746	0.7700	0.7617	0.0000
44	ancient_texts	biology	0.5712	0.8052	0.7110	0.0009
45	biology	elements	0.5704	0.8492	0.6416	0.0246
46	religion	sports	0.5684	0.7649	0.7499	0.0000
47	ancient_texts	sports	0.5680	0.7098	0.8117	0.0000
48	finance	sports	0.5662	0.7567	0.7528	0.0000
49	biology	religion	0.5612	0.8263	0.6492	0.0141
50	astronomy	sports	0.5592	0.7757	0