{"id":"W4375947893","doi":"10.1016/j.annepidem.2023.05.004","title":"The application of lag times in cancer pharmacoepidemiology: a narrative review","year":2023,"lang":"en","type":"review","venue":"Annals of Epidemiology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital; McGill University Health Centre","funders":"","keywords":"Medicine; Pharmacoepidemiology; Narrative review; Narrative; Lag; Internal medicine; Intensive care medicine; Pharmacology; Linguistics","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":[0.01313256,0.001013493,0.002586059,0.003577595,0.0003625847,0.002581117,0.001521043,0.001904153,0.004231149],"category_scores_gemma":[0.05805322,0.000575882,0.003065595,0.004848834,0.0009341825,0.00291281,0.001253842,0.002216954,0.0005956042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180237,"about_ca_system_score_gemma":0.007101447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002028299,"about_ca_topic_score_gemma":0.003123421,"domain_scores_codex":[0.9930802,0.003480461,0.001755201,0.0004728696,0.001091081,0.0001202989],"domain_scores_gemma":[0.9157235,0.07658178,0.004461875,0.0006711403,0.002320934,0.0002407746],"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":[0.0002400422,0.00003643567,0.0005193393,0.3551984,0.001709569,0.0001110325,0.0002032199,0.0009518283,0.0001250796,0.01747278,0.01532336,0.6081089],"study_design_scores_gemma":[0.0001691309,0.0002652849,0.002050675,0.5128775,0.006230365,0.001090729,0.0002942213,0.0006075107,0.0003383749,0.01546495,0.4605307,0.00008056638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005863738,0.9984683,0.000387352,0.0006275584,0.000157301,0.00002034201,0.00002730931,0.000003694538,0.0002495398],"genre_scores_gemma":[0.00163522,0.9968278,0.0006535279,0.0005147877,0.0002130048,0.00005851335,0.00002644612,0.000002936533,0.0000677865],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01313256,"threshold_uncertainty_score":0.0694524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9266390608503267,"score_gpt":0.766301925030867,"score_spread":0.1603371358194596,"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."}}