{"id":"W2114313721","doi":"10.1097/01.ede.0000249540.17855.b7","title":"The Emergence of Networks in Human Genome Epidemiology","year":2006,"lang":"en","type":"article","venue":"Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Institutes of Health","keywords":"Scope (computer science); Genetic epidemiology; Population; Data science; Computer science; Medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006943323,0.0002239569,0.0007434055,0.00006874739,0.0002065537,0.00000145565,0.0004803647,0.0005055555,0.00004165947],"category_scores_gemma":[0.004862757,0.0001710806,0.0002157225,0.0001830181,0.0005498903,0.000002300996,0.0001896696,0.0002562599,0.000008084457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002042782,"about_ca_system_score_gemma":0.00004784392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009537645,"about_ca_topic_score_gemma":0.001556968,"domain_scores_codex":[0.9944546,0.002414442,0.00164298,0.0005483981,0.00004457051,0.000894998],"domain_scores_gemma":[0.9964547,0.002046756,0.0006897604,0.0006486831,0.00009055151,0.00006962111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003783542,0.0000638802,0.8813857,0.000006568707,0.0000513524,0.000001201436,0.000009447995,0.05691331,0.0151614,0.02726074,0.01811473,0.0009938759],"study_design_scores_gemma":[0.0003169354,0.0002285189,0.9400035,0.000005427595,0.00001177242,0.00001050094,0.00004254923,0.001778788,0.0001135224,0.03118828,0.02610213,0.0001980839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320853,0.02011471,0.03796235,0.004275043,0.0005943014,0.0003943192,0.00001671492,0.00001930196,0.004537927],"genre_scores_gemma":[0.9936306,0.001639067,0.002156954,0.0009324584,0.0005584291,0.00007533582,0.0002058839,0.00002140297,0.0007798853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06154525,"threshold_uncertainty_score":0.6976466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02599468954593718,"score_gpt":0.3145002147585066,"score_spread":0.2885055252125694,"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."}}