{"id":"W3092276302","doi":"10.1200/jco.2020.38.29_suppl.60","title":"Better treatment at what cost? A study of myeloma spending.","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; Juravinski Cancer Centre; Cancer Care Ontario","funders":"","keywords":"Medicine; Multiple myeloma; Cancer drugs; Lenalidomide; Cancer; Pharmacy; Bortezomib; Government (linguistics); Family medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001175176,0.0002001214,0.0003397622,0.002667249,0.001183597,0.001740595,0.0008640841,0.0006416545,0.004891674],"category_scores_gemma":[0.01136699,0.0002649753,0.001031025,0.0113782,0.0007157564,0.001733932,0.001094807,0.001102544,0.000365377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01597246,"about_ca_system_score_gemma":0.01164868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7793849,"about_ca_topic_score_gemma":0.7237806,"domain_scores_codex":[0.9989167,0.0002065855,0.00008820083,0.00009334237,0.0003209289,0.0003742101],"domain_scores_gemma":[0.9891621,0.001563376,0.005986471,0.0001907307,0.001474313,0.001622993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001619531,0.00005125694,0.9899673,0.00008511389,0.0001407176,0.0000627274,0.0008697064,0.0001470788,0.00001885127,0.000652919,0.003428376,0.004413891],"study_design_scores_gemma":[0.0000102018,0.00002165305,0.9962579,0.000077807,0.00004038588,0.0000439945,0.001087843,0.0002327853,0.000006746068,0.00008512671,0.002129939,0.000005612563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9570042,0.004831524,0.0001034167,0.007919635,0.00002826628,0.00005947099,0.01911945,0.00001206716,0.01092197],"genre_scores_gemma":[0.9951314,0.001062207,0.00005925218,0.0003167631,0.00002805176,0.00002705381,0.002630119,0.000009462751,0.0007358489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7793849,"threshold_uncertainty_score":0.4438286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.432261078618734,"score_gpt":0.4829282545247874,"score_spread":0.05066717590605335,"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."}}