{"id":"W4390298060","doi":"10.1002/pds.5746","title":"Assessing cumulative effects of medication use: New insights and new challenges","year":2023,"lang":"en","type":"article","venue":"Pharmacoepidemiology and Drug Safety","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Spurious relationship; Pharmacoepidemiology; Covariate; Cumulative incidence; Econometrics; Cumulative effects; Intensive care medicine; Actuarial science; Pharmacology; Statistics; Cohort; Internal medicine; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.1034616,0.003036589,0.008041993,0.00789669,0.001138325,0.008292198,0.005784624,0.006996443,0.005382439],"category_scores_gemma":[0.1824439,0.00196104,0.003751099,0.008396398,0.01506798,0.01868881,0.006208634,0.01508123,0.001083291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004124088,"about_ca_system_score_gemma":0.00865816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008054094,"about_ca_topic_score_gemma":0.008541996,"domain_scores_codex":[0.9561973,0.02539819,0.003895711,0.006723422,0.007296988,0.0004883342],"domain_scores_gemma":[0.4721925,0.4925099,0.008695292,0.01124759,0.01272753,0.002627125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004722967,0.0002794655,0.02519789,0.01479886,0.002351584,0.0007815373,0.002582111,0.008745823,0.0006232857,0.1735869,0.03136446,0.7392159],"study_design_scores_gemma":[0.0001052712,0.0004346732,0.01485,0.01201995,0.0006527586,0.001603651,0.002143276,0.01242985,0.0003596368,0.8254367,0.1296666,0.0002977186],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.004209968,0.8130361,0.08453945,0.0918712,0.002503242,0.00009246757,0.001161559,0.0001258449,0.002460181],"genre_scores_gemma":[0.08736075,0.727586,0.1062096,0.03845307,0.03671563,0.0006033769,0.001263892,0.0003323531,0.001475348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1034616,"threshold_uncertainty_score":0.5471636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6520777044900588,"score_gpt":0.6033826546866505,"score_spread":0.04869504980340822,"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."}}