{"id":"W4392763898","doi":"10.54194/ryjn9568","title":"Patented Medicines Expenditure in Canada 1990–2022 8TH Edition","year":2024,"lang":"en","type":"article","venue":"Canadian Health Policy","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Attribution; Access to medicines; Operations research; Computer science; Library science; Medicine; Engineering; Psychology; Nursing; Public health; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0007750501,0.0009335774,0.0006768997,0.006792743,0.001639517,0.004389635,0.001607437,0.001274392,0.0263102],"category_scores_gemma":[0.004503183,0.0004768655,0.00107157,0.01494867,0.0006624701,0.00110761,0.0008780236,0.001580533,0.005457473],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07518479,"about_ca_system_score_gemma":0.1236465,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944044,"about_ca_topic_score_gemma":0.9929692,"domain_scores_codex":[0.9974468,0.00003325603,0.00008355815,0.0001161908,0.001870441,0.0004496704],"domain_scores_gemma":[0.9934726,0.0002094176,0.0003929934,0.00009663443,0.005238757,0.0005895952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000690541,0.00001551102,0.003673511,0.0004124893,0.00003585665,0.00005970716,0.0000984662,0.0006805027,0.0001302639,0.005535313,0.9616517,0.02763776],"study_design_scores_gemma":[0.00005584401,0.00001970147,0.1009811,0.0005646073,0.00006276035,0.0001297726,0.0002484769,0.00103214,0.0003964686,0.000776635,0.8956804,0.00005221916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.014961,0.02229961,0.0005561752,0.01857916,0.004749464,0.0001751515,0.7667307,0.001011087,0.1709376],"genre_scores_gemma":[0.1643021,0.04061507,0.00240522,0.005663369,0.001584906,0.0002825589,0.353744,0.0004764886,0.4309262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9248152,"threshold_uncertainty_score":0.5455064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05509737628602205,"score_gpt":0.3153116426462276,"score_spread":0.2602142663602056,"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."}}