{"id":"W1541171494","doi":"10.1126/science.296.5567.451","title":"Coincidence or Connection?","year":2002,"lang":"en","type":"article","venue":"Science","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coincidence; Connection (principal bundle); Computer science; Mathematics; Medicine; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009547716,0.00006635766,0.0001184877,0.0002276598,0.0002926418,0.00003417521,0.0002848005,0.000022542,0.00267238],"category_scores_gemma":[0.001907972,0.0000405183,0.00002288487,0.001957516,0.00166018,0.0002718915,0.00005757613,0.0001318831,0.000591623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008361191,"about_ca_system_score_gemma":0.0002971537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003380928,"about_ca_topic_score_gemma":0.00001550363,"domain_scores_codex":[0.9980022,0.00001070571,0.0001218868,0.0003407511,0.001099663,0.0004247742],"domain_scores_gemma":[0.9989145,0.00007446915,0.00002682298,0.0003282395,0.0002370257,0.0004188963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003602763,0.0008919364,0.1449632,0.0001909191,0.0000206665,0.003328863,0.007448526,0.00001528985,0.4328532,0.005511634,0.05398569,0.3504297],"study_design_scores_gemma":[0.005651535,0.004726553,0.6158215,0.0006487408,0.00006744672,0.01243686,0.005773765,0.03705345,0.1218876,0.0007514532,0.1944572,0.0007238822],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9308454,0.0004254838,0.0002852346,0.004991695,0.0006151329,0.000287227,7.9399e-7,0.00009916438,0.06244981],"genre_scores_gemma":[0.974061,0.0001556137,0.0005409101,0.001621363,0.0001536962,0.000007414563,1.630483e-7,0.000003587337,0.0234563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4708582,"threshold_uncertainty_score":0.9982393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1129740090908601,"score_gpt":0.3982670106738169,"score_spread":0.2852930015829567,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}