{"id":"W4289856100","doi":"10.36469/001c.36975","title":"Chronic Myeloid Leukemia: Part I—Real-World Treatment Patterns, Healthcare Resource Utilization, and Associated Costs in Later Lines of Therapy in the United States","year":2022,"lang":"en","type":"article","venue":"Journal of health economics and outcomes research","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis","funders":"Novartis Pharmaceuticals Corporation; International Business Machines Corporation","keywords":"Medicine; Health care; Myeloid leukemia; Pharmacy; Population; Incidence (geometry); Emergency medicine; Internal medicine; Family medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007399085,0.0002407016,0.0002852021,0.001362606,0.0002852285,0.001131569,0.0003045729,0.000411181,0.001818955],"category_scores_gemma":[0.002310337,0.0002110714,0.0005874179,0.00433489,0.0002482242,0.0007846562,0.0006941113,0.00055747,0.000257471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461689,"about_ca_system_score_gemma":0.0006624244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02708502,"about_ca_topic_score_gemma":0.02693811,"domain_scores_codex":[0.9992107,0.0001691566,0.0002108412,0.0001609176,0.0001407557,0.0001075082],"domain_scores_gemma":[0.9972408,0.0002327129,0.002055943,0.00006438645,0.0001730663,0.0002331417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005201638,0.0000291774,0.9950046,0.0000445974,0.00009339841,0.00003041517,0.00005631316,0.0001732047,0.00004622251,0.00009321084,0.00161333,0.002763464],"study_design_scores_gemma":[0.000005701144,0.00002183326,0.9978992,0.00004628533,0.00001937693,0.0001421445,0.0002548426,0.0004425131,0.00002420941,0.00006144917,0.001077761,0.000004773507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665247,0.003824476,0.000152041,0.001106572,0.00002582057,0.00004078853,0.02701856,0.00001266212,0.001294411],"genre_scores_gemma":[0.9822586,0.001629889,0.0002266331,0.0002908213,0.00005048393,0.00006370451,0.01529098,0.000004039406,0.000184859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02708502,"threshold_uncertainty_score":0.0538547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1146702665762677,"score_gpt":0.4133945182437246,"score_spread":0.298724251667457,"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."}}