{"id":"W1983735302","doi":"10.1371/journal.pone.0014045","title":"An Efficient Paradigm for Genetic Epidemiology Cohort Creation","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; University of Manitoba; McGill University; Jewish General Hospital","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Jewish General Hospital","keywords":"Epidemiology; Cohort; Genetic epidemiology; Medicine; Cohort study; Osteoporotic fracture; Health care; Gerontology; Data science; Environmental health; Computer science; Family medicine; Osteoporosis; Pathology; Economic growth","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06921943,0.001020824,0.001828647,0.003483921,0.002179615,0.004952364,0.004946972,0.002223196,0.008648429],"category_scores_gemma":[0.1162296,0.001869066,0.001807794,0.003150657,0.002949958,0.006382954,0.00945556,0.005599133,0.00584475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001849757,"about_ca_system_score_gemma":0.005923104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001857816,"about_ca_topic_score_gemma":0.002455568,"domain_scores_codex":[0.9474035,0.0358296,0.002600695,0.006685755,0.006822436,0.000658046],"domain_scores_gemma":[0.9116063,0.04669398,0.003049552,0.02931573,0.007405505,0.00192889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004864155,0.0003802495,0.01215048,0.000739454,0.0005304658,0.0006909149,0.001388519,0.01300671,0.008682253,0.4282634,0.0261229,0.5075582],"study_design_scores_gemma":[0.0008126567,0.0004566643,0.003919851,0.0002951869,0.0002051052,0.001799382,0.0004615774,0.1053415,0.00460608,0.7455865,0.1363009,0.0002146581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007369923,0.00008764713,0.9959799,0.001096796,0.0001134351,0.0006517412,0.0002440268,0.0004157725,0.0006737263],"genre_scores_gemma":[0.008189893,0.0001466269,0.9875475,0.0004444667,0.0001398249,0.002257347,0.0003969528,0.0001073585,0.0007699557],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06921943,"threshold_uncertainty_score":0.3660717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08931011256925568,"score_gpt":0.3788842993233603,"score_spread":0.2895741867541046,"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."}}