{"id":"W3023863232","doi":"10.1017/dem.2018.11","title":"THE IMPACT OF NEW DRUG LAUNCHES ON LIFE-YEARS LOST IN 2015 FROM 19 TYPES OF CANCER IN 36 COUNTRIES","year":2018,"lang":"en","type":"article","venue":"Journal of Demographic Economics","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Incyte","keywords":"Cancer drugs; Medicine; Demography; Drug; Cancer; Population; Cancer incidence; Incidence (geometry); Environmental health; Mathematics; Pharmacology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005766118,0.0005259314,0.0009289746,0.001547496,0.0002303993,0.001273621,0.0006394708,0.0005114655,0.002099624],"category_scores_gemma":[0.009336667,0.0003549324,0.004503843,0.002021915,0.0006609285,0.0008451182,0.001655593,0.0009811382,0.000226963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679205,"about_ca_system_score_gemma":0.0009924343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01740768,"about_ca_topic_score_gemma":0.007810008,"domain_scores_codex":[0.9958817,0.001921045,0.0005320724,0.0006898931,0.0004198723,0.0005554401],"domain_scores_gemma":[0.9881543,0.003702946,0.006505871,0.000440289,0.0005843801,0.0006122953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001002829,0.00009855305,0.9831229,0.0001567506,0.002998715,0.00009289962,0.00006248547,0.008386506,0.00009749828,0.0002940542,0.000438755,0.003248011],"study_design_scores_gemma":[0.00008957487,0.0008240067,0.9906879,0.00006817259,0.001388417,0.00009369182,0.0002282121,0.005117042,0.0004539448,0.0002026557,0.0008128866,0.00003353216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906486,0.002295925,0.0007593117,0.000211347,0.00004013085,0.00003495944,0.005460205,0.0000179597,0.0005315414],"genre_scores_gemma":[0.9971135,0.0003007256,0.000223998,0.00003450042,0.00001078827,0.0000189031,0.002112827,0.000002567174,0.0001821966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01740768,"threshold_uncertainty_score":0.03461272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03581662994321924,"score_gpt":0.3141935997758433,"score_spread":0.2783769698326241,"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."}}