{"id":"W4409802238","doi":"10.1093/biomtc/ujaf041","title":"Optimal dynamic treatment regime estimation in the presence of nonadherence","year":2025,"lang":"en","type":"article","venue":"Biometrics","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Waterloo; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation","keywords":"Estimator; Robustness (evolution); Estimation; Reliability (semiconductor); Computer science; Population; Outcome (game theory); Econometrics; Process (computing); Precision medicine; Medicine; Mathematics; Statistics; Economics","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":[0.01774438,0.0006038374,0.002225714,0.001230091,0.0004385242,0.001720142,0.001547507,0.001704611,0.001374981],"category_scores_gemma":[0.0996581,0.0007566571,0.001219278,0.001179884,0.001600872,0.001747565,0.001522374,0.002370168,0.0002420165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551104,"about_ca_system_score_gemma":0.002530947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004909341,"about_ca_topic_score_gemma":0.002598633,"domain_scores_codex":[0.9879183,0.008292498,0.000622983,0.001650138,0.001149462,0.0003666548],"domain_scores_gemma":[0.9352038,0.05495233,0.004648054,0.003447842,0.00144134,0.0003066228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005067139,0.0002034335,0.0216436,0.0002913532,0.0004495452,0.0002123024,0.0003921056,0.7045618,0.0018178,0.1049188,0.001218974,0.1637835],"study_design_scores_gemma":[0.00006993076,0.0001299733,0.002895924,0.0000740223,0.0000684505,0.00007601953,0.00004088855,0.9124233,0.001266732,0.08180471,0.001114015,0.00003606369],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02726077,0.0002828686,0.9708629,0.0003883477,0.00002597696,0.0001082927,0.0001101975,0.0001308301,0.0008298327],"genre_scores_gemma":[0.6220958,0.0005297691,0.374713,0.0003062687,0.00008259682,0.0004597384,0.000397205,0.00005422756,0.001361523],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01774438,"threshold_uncertainty_score":0.09384239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1184724644371154,"score_gpt":0.4363638841518298,"score_spread":0.3178914197147145,"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."}}