{"id":"W4390126285","doi":"10.1016/j.jval.2023.09.326","title":"EE53 An Investigation of Value for Money of Oncology Drugs in Canada","year":2023,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Value for money; Value (mathematics); Medicine; Internal medicine; Oncology; Family medicine; Economics; Computer science; Public economics","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":[0.001276338,0.0002009359,0.0004956205,0.002296473,0.003365383,0.00390934,0.0009652334,0.0009861374,0.004391934],"category_scores_gemma":[0.01213059,0.0002623541,0.0005096777,0.005173817,0.001002129,0.0007688833,0.0008248279,0.00161117,0.0001782113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09848029,"about_ca_system_score_gemma":0.07590172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962096,"about_ca_topic_score_gemma":0.9975394,"domain_scores_codex":[0.9980814,0.0001778665,0.00005201546,0.00009281499,0.0008956171,0.0007002868],"domain_scores_gemma":[0.9901844,0.002898904,0.000945301,0.0001447242,0.004768851,0.001057814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001092477,0.0005187293,0.685804,0.0004322839,0.0003926995,0.002332627,0.00374717,0.02564593,0.0006728331,0.1289305,0.08451831,0.06591241],"study_design_scores_gemma":[0.0001310321,0.0001861835,0.8392591,0.0002102144,0.0002429912,0.0003212663,0.01891039,0.03268179,0.001158062,0.007606665,0.09916653,0.0001256647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8958834,0.00319711,0.000425914,0.01434932,0.00007208709,0.0001377548,0.007539998,0.00003463209,0.07835979],"genre_scores_gemma":[0.9799581,0.001214509,0.000211744,0.0005246305,0.00002499227,0.0000153259,0.001139574,0.00001176348,0.01689932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09848029,"threshold_uncertainty_score":0.7145278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0767024081748256,"score_gpt":0.2898453923944304,"score_spread":0.2131429842196048,"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."}}