{"id":"W4404524148","doi":"10.2196/59480","title":"Medication Prescription Policy for US Veterans With Metastatic Castration-Resistant Prostate Cancer: Causal Machine Learning Approach","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enzalutamide; Docetaxel; Medicine; Prostate cancer; Oncology; Internal medicine; Mitoxantrone; Cabazitaxel; Medical prescription; Cancer; Veterans Affairs; Abiraterone acetate; Androgen deprivation therapy; Chemotherapy; Androgen receptor; Pharmacology","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":[0.00569525,0.0005533709,0.0009556481,0.005508814,0.0007658785,0.001707009,0.00127071,0.00136929,0.005381397],"category_scores_gemma":[0.02586125,0.000441546,0.002048557,0.003766707,0.0006043717,0.001119242,0.0008113025,0.001470916,0.000286345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002333756,"about_ca_system_score_gemma":0.002008133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04434814,"about_ca_topic_score_gemma":0.02487447,"domain_scores_codex":[0.9967337,0.001619569,0.0002663701,0.0008396849,0.0002174477,0.0003233201],"domain_scores_gemma":[0.9713803,0.02190449,0.004779787,0.000588848,0.0007304417,0.0006162038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002535198,0.0002383825,0.9350413,0.00007501081,0.0007129633,0.0002448632,0.0001080623,0.04815955,0.00003906238,0.002095385,0.001650614,0.01138139],"study_design_scores_gemma":[0.0001149742,0.0001734167,0.231268,0.0001194079,0.000853327,0.0003740044,0.0004038152,0.7477932,0.0001669371,0.01598583,0.002689232,0.00005782829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489362,0.001998259,0.0274886,0.006249753,0.0001353599,0.0002595045,0.01152765,0.0002503468,0.003154265],"genre_scores_gemma":[0.9929627,0.0002744132,0.002783611,0.000179102,0.0001015345,0.00005695761,0.00319991,0.000008977288,0.0004328848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04434814,"threshold_uncertainty_score":0.08817995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03404942358098799,"score_gpt":0.3655782055431681,"score_spread":0.3315287819621801,"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."}}