{"id":"W1970654520","doi":"10.1002/sim.3701","title":"Flexible modeling of the cumulative effects of time‐dependent exposures on the hazard","year":2009,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Faculty of Medicine, McGill University; McGill University","keywords":"Covariate; Proportional hazards model; Statistics; Econometrics; Hazard; Regression analysis; Medicine; Computer science; Mathematics","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":[0.01396189,0.0014971,0.002039848,0.001821773,0.0007291731,0.002448532,0.005424262,0.003134058,0.005413376],"category_scores_gemma":[0.02834576,0.001189548,0.002912734,0.002268343,0.002572824,0.002583056,0.002407372,0.003824927,0.0007486801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002155215,"about_ca_system_score_gemma":0.002327314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02364122,"about_ca_topic_score_gemma":0.01249448,"domain_scores_codex":[0.9953279,0.002565495,0.0001742532,0.0008372876,0.0004681582,0.0006267706],"domain_scores_gemma":[0.982296,0.01320222,0.001686016,0.001486652,0.0008146168,0.0005144114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001292992,0.00006000418,0.004327074,0.00005667072,0.0001655538,0.0003235971,0.0002193924,0.9029258,0.0004731421,0.07841695,0.0009841643,0.01191837],"study_design_scores_gemma":[0.0000507795,0.00006377151,0.001899271,0.00002500841,0.00008410385,0.00009190079,0.00004145297,0.941757,0.0001431333,0.05445302,0.001348403,0.00004208352],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05596634,0.0006939931,0.9376453,0.001432591,0.0001487064,0.000155844,0.001190264,0.0003319378,0.002435018],"genre_scores_gemma":[0.8941261,0.001257488,0.07978477,0.0003756485,0.0002512277,0.0007009439,0.001100051,0.0001828962,0.02222088],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02364122,"threshold_uncertainty_score":0.07383847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2270755262068856,"score_gpt":0.4336685487184045,"score_spread":0.206593022511519,"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."}}