{"id":"W1965752447","doi":"10.2471/blt.07.048744","title":"Screening: evidence and practice","year":2008,"lang":"en","type":"article","venue":"Bulletin of the World Health Organization","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; MEDLINE; Data science; Computer science; Biology","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":[0.04541464,0.002173825,0.005635302,0.01465981,0.001758193,0.01122321,0.006235572,0.01099133,0.02518098],"category_scores_gemma":[0.2190455,0.001784983,0.004705848,0.01064935,0.003942329,0.009317167,0.004619268,0.01055037,0.007960394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01293665,"about_ca_system_score_gemma":0.03597818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008462303,"about_ca_topic_score_gemma":0.008383576,"domain_scores_codex":[0.9526473,0.02352261,0.01004365,0.001897551,0.01104671,0.0008421842],"domain_scores_gemma":[0.7946779,0.149317,0.01530414,0.005507292,0.03133783,0.003855821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002705283,0.0001629294,0.001067553,0.239341,0.001218645,0.0001938952,0.000584023,0.000568959,0.0001837219,0.02402529,0.1897488,0.5426346],"study_design_scores_gemma":[0.0002204973,0.0001052134,0.001509116,0.6706279,0.001261983,0.0003708377,0.0003692886,0.0002575486,0.0001693173,0.02394096,0.301115,0.00005236939],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004396401,0.9030037,0.003401356,0.06123824,0.008675024,0.001386442,0.001197934,0.0001776437,0.02048002],"genre_scores_gemma":[0.01618049,0.9183384,0.0234826,0.03230682,0.003665194,0.002230054,0.001562075,0.0001183891,0.002115894],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04541464,"threshold_uncertainty_score":0.2401785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4263433535603942,"score_gpt":0.5422421774798696,"score_spread":0.1158988239194754,"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."}}