{"id":"W2096292456","doi":"10.1093/aje/kwu125","title":"Marginal Structural Cox Models for Estimating the Association Between β-Interferon Exposure and Disease Progression in a Multiple Sclerosis Cohort","year":2014,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"IC Design Education Center; Multiple Sclerosis Trust; Canadian Institutes of Health Research; Biogen","keywords":"Marginal structural model; Hazard ratio; Medicine; Proportional hazards model; Inverse probability weighting; Confidence interval; Observational study; Confounding; Context (archaeology); Cohort; Internal medicine; Multiple sclerosis; Cohort study; Immunology; Propensity score matching","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":[0.03050222,0.001198805,0.001412603,0.001859575,0.0004694278,0.00116951,0.00314187,0.001126014,0.003018755],"category_scores_gemma":[0.07513153,0.0009780765,0.002291568,0.001891646,0.001053551,0.00188126,0.001784763,0.002940158,0.0004764443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001395793,"about_ca_system_score_gemma":0.003017803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01501829,"about_ca_topic_score_gemma":0.0148716,"domain_scores_codex":[0.9878672,0.01038059,0.0002785646,0.0006663005,0.0005361605,0.0002711668],"domain_scores_gemma":[0.9561372,0.03788597,0.002304119,0.002418417,0.0008345698,0.0004196837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002397496,0.000195272,0.09660087,0.0009176348,0.004310964,0.0006278178,0.0009822043,0.5812272,0.001242413,0.1977554,0.006614511,0.1071283],"study_design_scores_gemma":[0.0002461533,0.000466225,0.00695768,0.00009400915,0.0004171378,0.0001933449,0.0001485659,0.8937132,0.0003077926,0.09446577,0.002929737,0.00006031764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05269235,0.001312858,0.9423369,0.0008780797,0.0001425651,0.0005075034,0.001171539,0.000377376,0.0005807587],"genre_scores_gemma":[0.6515353,0.002842107,0.3352474,0.0004524773,0.0003558814,0.002919406,0.003036623,0.0001448285,0.00346589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03050222,"threshold_uncertainty_score":0.1613131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09494835023538824,"score_gpt":0.3763740966517521,"score_spread":0.2814257464163639,"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."}}