{"id":"W4394872931","doi":"10.2196/56572","title":"A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences","keywords":"Asthma; Medicine; Intensive care medicine; Reimbursement; Psychological intervention; Health care; Psychiatry; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04943725,0.003295721,0.005386171,0.007663039,0.00147798,0.007092045,0.005918016,0.004152902,0.009556059],"category_scores_gemma":[0.1370507,0.001829191,0.005744018,0.005636794,0.003579763,0.008705782,0.004642397,0.009977247,0.002222741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003645377,"about_ca_system_score_gemma":0.008600479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01697878,"about_ca_topic_score_gemma":0.01634334,"domain_scores_codex":[0.9701914,0.02256406,0.001352567,0.002994926,0.002461408,0.0004355698],"domain_scores_gemma":[0.6998892,0.2754265,0.003711723,0.01191091,0.007222644,0.00183905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006699129,0.0007118222,0.01405639,0.003914296,0.003709109,0.0004500925,0.0006749399,0.1205295,0.0008987829,0.1339142,0.04276688,0.6777041],"study_design_scores_gemma":[0.000289372,0.000128129,0.001794443,0.001314134,0.000511599,0.0001308487,0.0002326653,0.2636081,0.0004363424,0.6984349,0.03296871,0.0001506769],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002874496,0.02584412,0.9283097,0.03483599,0.0008352479,0.0003613516,0.001457272,0.002120884,0.00336102],"genre_scores_gemma":[0.08589362,0.01771932,0.877371,0.01021347,0.002577221,0.001033575,0.003050772,0.0004118164,0.001729189],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04943725,"threshold_uncertainty_score":0.2614523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02829102003961943,"score_gpt":0.3519145564361703,"score_spread":0.3236235363965509,"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."}}