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Add swarm_train_15.sh that runs 15 parallel discovery agents targeting all undertrained domains. New sources: NCBI Gene, UniProt, CrossRef, CERN Open Data, PubChem, World Bank (expanded), NASA DONKI (CME/IPS/SEP). Coverage: 140 total discoveries across 5 domains: - space-science: 46 (exoplanets, NEOs, GW, CMEs, flares) - medical-genomics: 35 (PubMed, NCBI Gene, UniProt proteins) - earth-science: 25 (earthquakes, geomagnetic storms) - materials-physics: 18 (CERN, PubChem, CrossRef) - economics-finance: 16 (World Bank GDP/CPI/unemployment) https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
87 lines
1.7 KiB
JSON
87 lines
1.7 KiB
JSON
[
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{
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"title": "CERN: ?",
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"content": "?. Experiment: ?",
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"category": "pattern",
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"tags": [
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"physics",
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"cern",
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"particle",
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"higgs",
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"gap-fill"
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],
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"domain": "materials-physics",
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"source_api": "CERN Open Data",
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"timestamp": "2026-03-15T21:59:51Z",
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"confidence": 0.88,
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"data_points": 1
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},
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{
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"title": "CERN: ?",
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"content": "?. Experiment: ?",
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"category": "pattern",
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"tags": [
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"physics",
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"cern",
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"particle",
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"higgs",
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"gap-fill"
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],
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"domain": "materials-physics",
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"source_api": "CERN Open Data",
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"timestamp": "2026-03-15T21:59:51Z",
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"confidence": 0.88,
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"data_points": 1
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},
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{
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"title": "CERN: ?",
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"content": "?. Experiment: ?",
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"category": "pattern",
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"tags": [
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"physics",
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"cern",
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"particle",
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"higgs",
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"gap-fill"
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],
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"domain": "materials-physics",
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"source_api": "CERN Open Data",
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"timestamp": "2026-03-15T21:59:51Z",
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"confidence": 0.88,
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"data_points": 1
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},
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{
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"title": "CERN: ?",
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"content": "?. Experiment: ?",
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"category": "pattern",
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"tags": [
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"physics",
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"cern",
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"particle",
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"higgs",
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"gap-fill"
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],
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"domain": "materials-physics",
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"source_api": "CERN Open Data",
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"timestamp": "2026-03-15T21:59:51Z",
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"confidence": 0.88,
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"data_points": 1
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},
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{
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"title": "CERN: ?",
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"content": "?. Experiment: ?",
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"category": "pattern",
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"tags": [
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"physics",
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"cern",
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"particle",
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"higgs",
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"gap-fill"
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],
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"domain": "materials-physics",
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"source_api": "CERN Open Data",
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"timestamp": "2026-03-15T21:59:51Z",
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"confidence": 0.88,
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"data_points": 1
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}
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]
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