{"id":"W2044055253","doi":"10.2202/1557-4679.1178","title":"A Comparison of Variable Selection Approaches for Dynamic Treatment Regimes","year":2010,"lang":"en","type":"article","venue":"The International Journal of Biostatistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Econometrics; Variable (mathematics); Selection (genetic algorithm); Statistics; Feature selection; Mathematics; Computer science; Artificial intelligence","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":[0.03763469,0.001179654,0.002359651,0.004242508,0.0006096616,0.001676494,0.001838797,0.00161782,0.002362419],"category_scores_gemma":[0.06113734,0.0004942592,0.002471418,0.002894665,0.001250202,0.001798991,0.001991942,0.00244086,0.0004715404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383696,"about_ca_system_score_gemma":0.001984223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002742295,"about_ca_topic_score_gemma":0.003178562,"domain_scores_codex":[0.9742143,0.02167889,0.0007795411,0.0009756938,0.002025503,0.0003261685],"domain_scores_gemma":[0.9172626,0.0763845,0.00131593,0.002062337,0.002493933,0.0004805539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002625321,0.0002870201,0.01100805,0.0007722508,0.001657621,0.0000829392,0.0008223685,0.2966191,0.0009086116,0.06211403,0.003014095,0.6200887],"study_design_scores_gemma":[0.0004560388,0.0008180604,0.005449532,0.0001978028,0.0002848344,0.00007840518,0.0002486043,0.9390409,0.0006946689,0.04979609,0.002859385,0.00007561785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06658828,0.006913753,0.9191629,0.001958149,0.0001727052,0.0005908626,0.000254486,0.0007406594,0.003618185],"genre_scores_gemma":[0.4941586,0.004124483,0.4964801,0.0006831546,0.0002735678,0.001160587,0.0008800641,0.0002348378,0.002004601],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03763469,"threshold_uncertainty_score":0.1990336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1474785294317696,"score_gpt":0.4373304618776667,"score_spread":0.2898519324458971,"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."}}