{"id":"W2403578550","doi":"","title":"Selection of subjects for hospital-based epidemiologic studies based on outward manifestations of disease.","year":2001,"lang":"en","type":"article","venue":"PubMed","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Selection bias; Selection (genetic algorithm); Medicine; Disease; Cohort; Control (management); Matching (statistics); Case-control study; Cohort study; Epidemiology; Environmental health; Intensive care medicine; Internal medicine; Pathology; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01066648,0.0006525322,0.000956601,0.002213813,0.0007893852,0.0008673523,0.001008574,0.001045432,0.004080663],"category_scores_gemma":[0.03252039,0.0003775191,0.0007141329,0.002361977,0.0006158905,0.0004118247,0.0007719028,0.0005455199,0.001198326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004371569,"about_ca_system_score_gemma":0.001435873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003057972,"about_ca_topic_score_gemma":0.00300892,"domain_scores_codex":[0.9894065,0.007224886,0.001446312,0.0005486388,0.001081618,0.0002920862],"domain_scores_gemma":[0.992983,0.001918229,0.001879487,0.001658751,0.001024147,0.000536326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008110361,0.001438364,0.8300359,0.001736069,0.0008174377,0.002029856,0.002018322,0.0006626984,0.00640474,0.01204933,0.02422156,0.1104753],"study_design_scores_gemma":[0.005851231,0.00951163,0.8483756,0.001648765,0.001993359,0.005361982,0.0029094,0.007859124,0.01014793,0.01551081,0.09064914,0.0001810038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7587655,0.009817969,0.09734818,0.005908411,0.003170636,0.09009413,0.01440141,0.0003409853,0.02015281],"genre_scores_gemma":[0.8952009,0.00442668,0.04596702,0.003567185,0.001043626,0.03252821,0.00898369,0.00005623455,0.008226564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01066648,"threshold_uncertainty_score":0.05641049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1466782693452718,"score_gpt":0.3079163778336028,"score_spread":0.161238108488331,"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."}}