{"id":"W4393985972","doi":"10.1002/pds.5790","title":"Clarifying the causal contrast: An empirical example applying the prevalent new user study design","year":2024,"lang":"en","type":"article","venue":"Pharmacoepidemiology and Drug Safety","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"University of North Carolina at Chapel Hill; Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill; Agency for Healthcare Research and Quality","keywords":"Medicine; Propensity score matching; Hazard ratio; Confounding; Pharmacoepidemiology; Internal medicine; Population; Weighting; Oncology; Pharmacology; Environmental health; Confidence interval; Medical prescription","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0106668,0.0003291054,0.0004973648,0.00005359585,0.0005458002,0.00005751431,0.0004318704,0.0001356119,0.0001599146],"category_scores_gemma":[0.001380908,0.0001725271,0.00008811658,0.0001849807,0.0002760432,0.0002877307,0.0002195476,0.00118816,0.00001576712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006612575,"about_ca_system_score_gemma":0.0001102573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002312259,"about_ca_topic_score_gemma":0.00007852486,"domain_scores_codex":[0.9937094,0.004306021,0.0006997531,0.0005878928,0.0001796016,0.0005173687],"domain_scores_gemma":[0.9771786,0.02199085,0.0001352557,0.0004833976,0.00004372227,0.0001681462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001448333,0.001188062,0.05724077,0.0005166175,0.00178889,0.0002251603,0.04750406,0.001747419,0.003648163,0.3672974,0.2946302,0.2227649],"study_design_scores_gemma":[0.001473673,0.0004638574,0.006791686,0.0001620354,0.001125488,0.0002033135,0.003828679,0.03786434,0.001411391,0.8124683,0.1333196,0.0008877033],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0251105,0.00326463,0.9590839,0.00750376,0.0004025455,0.003561708,0.00001159885,0.000787493,0.0002738647],"genre_scores_gemma":[0.9723222,0.0007043444,0.02159525,0.003339617,0.0005913842,0.0008667859,0.000006519296,0.00006232633,0.000511582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9472117,"threshold_uncertainty_score":0.7035449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3642857016108703,"score_gpt":0.503481748549599,"score_spread":0.1391960469387287,"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."}}