{"id":"W4239067159","doi":"10.1177/0962280218811186","title":"Authors' reply: Letter to the Editor: Comparison of statistical approaches dealing with time-dependent confounding in drug effectiveness studies (SMMR, Vol 27, Issue 6, 2018)","year":2018,"lang":"en","type":"letter","venue":"Statistical Methods in Medical Research","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre; Centre for Advancing Health Outcomes; University of British Columbia; Jewish General Hospital; Providence Health Care","funders":"","keywords":"Confounding; Computer science; Econometrics; Statistics; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01183407,0.0009160994,0.002627516,0.001555768,0.002918324,0.004168659,0.002633302,0.05053835,0.007321174],"category_scores_gemma":[0.1083778,0.001053605,0.001846773,0.001556876,0.003155746,0.003357906,0.001750345,0.04480327,0.007160684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004369697,"about_ca_system_score_gemma":0.006798002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003860522,"about_ca_topic_score_gemma":0.005386713,"domain_scores_codex":[0.9900321,0.00358693,0.001957556,0.001139258,0.00248432,0.0007998892],"domain_scores_gemma":[0.9421837,0.03894826,0.004391669,0.001173434,0.01004338,0.00325954],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005990377,0.00001543916,0.0002969288,0.00008734711,0.00002248486,0.0003209708,0.00006176638,0.00003859399,0.00004252973,0.0008736665,0.995012,0.003168337],"study_design_scores_gemma":[0.0003629739,0.0001073893,0.002116907,0.001057937,0.0001311027,0.001608178,0.0004633893,0.0006920799,0.0003468317,0.009300501,0.9836633,0.0001493856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001256288,0.0008610757,0.00008583262,0.9590567,0.03935047,0.000009673783,0.0001180169,0.0000193747,0.000373348],"genre_scores_gemma":[0.001220822,0.0006940158,0.0002328662,0.9407913,0.05516189,0.00004557889,0.00003764914,0.00002168933,0.001794138],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9881659,"threshold_uncertainty_score":0.06258529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4172799159375314,"score_gpt":0.6239339484163909,"score_spread":0.2066540324788596,"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."}}