{"id":"W4404567028","doi":"10.1002/sim.10223","title":"Q‐Learning in Dynamic Treatment Regimes With Misclassified Binary Outcome","year":2024,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Outcome (game theory); Artificial intelligence; Machine learning; Population; Binary classification; Statistics; Data mining; Medicine; Mathematics; Support vector machine","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":[],"consensus_categories":[],"category_scores_codex":[0.04634653,0.001143395,0.003708896,0.001574738,0.0009953694,0.001914136,0.002736612,0.002760379,0.002043276],"category_scores_gemma":[0.1047828,0.0009575448,0.001439538,0.001740552,0.003812018,0.002806823,0.001820615,0.004274201,0.0002485652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002770062,"about_ca_system_score_gemma":0.003521394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008532523,"about_ca_topic_score_gemma":0.003624396,"domain_scores_codex":[0.9824614,0.01317854,0.0006328222,0.002216917,0.0009197136,0.0005906757],"domain_scores_gemma":[0.8203136,0.1681245,0.00596136,0.002454345,0.002343907,0.0008023389],"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":[0.0005268294,0.0002060677,0.006914867,0.0003725993,0.0002218148,0.0003048314,0.0003858534,0.8236507,0.0004713475,0.07643753,0.001119254,0.08938829],"study_design_scores_gemma":[0.00008585947,0.0001139195,0.000707057,0.00004204373,0.00003281766,0.00004943848,0.00002658017,0.9345521,0.0002609675,0.06365238,0.0004574554,0.00001928634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02934987,0.001081259,0.9669311,0.001365622,0.00006140421,0.0001778042,0.0001048514,0.000142906,0.0007852113],"genre_scores_gemma":[0.7269988,0.00137889,0.2671437,0.0008205979,0.0002256274,0.0007454679,0.0003148172,0.00006919336,0.002302941],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04634653,"threshold_uncertainty_score":0.2451068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1045138106540371,"score_gpt":0.4508819754438676,"score_spread":0.3463681647898305,"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."}}