{"id":"W4376271989","doi":"10.1093/ije/dyad049","title":"Validating an approach to overcome the immeasurable time bias in cohort studies: a real-world example and Monte Carlo simulation study","year":2023,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Fonds de Recherche du Québec - Santé; McGill University; Korea Health Industry Development Institute; National Health Insurance Service; Ministry of Food and Drug Safety; National Science Council","keywords":"Hazard ratio; Confidence interval; Monte Carlo method; Statistics; Medicine; Gold standard (test); Cohort; Mean squared error; Cohort study; Standard error; Econometrics; Emergency medicine; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1084462,0.001033442,0.001123479,0.001705649,0.0009872387,0.001956112,0.002689769,0.003463824,0.001929619],"category_scores_gemma":[0.2327066,0.0007192927,0.002513948,0.001455791,0.001720451,0.001615233,0.001901158,0.002413662,0.0001608185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002448208,"about_ca_system_score_gemma":0.004138432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01308624,"about_ca_topic_score_gemma":0.008533685,"domain_scores_codex":[0.9487246,0.04639911,0.001397775,0.001750783,0.001308541,0.0004191789],"domain_scores_gemma":[0.5891638,0.3783148,0.009094946,0.01305088,0.00935604,0.001019534],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006458026,0.0004008255,0.07717767,0.0004945042,0.001197582,0.0006385503,0.0009862483,0.8433992,0.0005234969,0.04602418,0.001333551,0.02717838],"study_design_scores_gemma":[0.0002750765,0.0003592944,0.004488363,0.0002346656,0.0002144389,0.0002166381,0.0002156142,0.9695498,0.0006155825,0.02224894,0.001529315,0.00005228991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2763909,0.001068066,0.7135312,0.002548336,0.0001782145,0.001521708,0.0006134745,0.0002979887,0.003850127],"genre_scores_gemma":[0.7415854,0.0002548671,0.2563061,0.0004153782,0.00004963,0.000847499,0.0002385862,0.00003010413,0.0002724609],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8915538,"threshold_uncertainty_score":0.5735253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3392835995049677,"score_gpt":0.4691697378251203,"score_spread":0.1298861383201527,"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."}}