{"id":"W4317508600","doi":"10.51731/cjht.2023.543","title":"Ruxolitinib (Jakavi)","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Ruxolitinib; Medicine; Family medicine; Drug; Refractory (planetary science); Intensive care medicine; Internal medicine; Pharmacology; Health care; Political science","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":[0.000619304,0.0002685522,0.0003134288,0.0008606194,0.0002203016,0.0009141768,0.0003718304,0.0003852748,0.01187948],"category_scores_gemma":[0.0009743093,0.00007514752,0.0004373359,0.0006669568,0.0002368217,0.0004547743,0.0003568097,0.0005156185,0.002510786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390288,"about_ca_system_score_gemma":0.002113481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01549708,"about_ca_topic_score_gemma":0.0520925,"domain_scores_codex":[0.999622,0.00007671467,0.00004460824,0.00004501268,0.0001612137,0.00005041815],"domain_scores_gemma":[0.9996297,0.0000799413,0.000110925,0.00001229418,0.0001307602,0.00003639729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002752194,0.00003655424,0.0006520904,0.003844349,0.0001095583,0.00008385843,0.00002690359,0.0001323404,0.001906836,0.002920722,0.08134481,0.9086668],"study_design_scores_gemma":[0.0001265583,0.0002877984,0.004249661,0.002846689,0.0001805301,0.0005525057,0.00003728885,0.0001256064,0.002344516,0.0004624485,0.9887715,0.00001489127],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.007050317,0.8715427,0.001107348,0.006978064,0.001137932,0.0001449927,0.002202288,0.0002223676,0.109614],"genre_scores_gemma":[0.1129487,0.7916213,0.003947952,0.009158381,0.00100782,0.0001581764,0.004048259,0.00004195468,0.07706747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01549708,"threshold_uncertainty_score":0.0397408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04997393762946757,"score_gpt":0.3201934607321535,"score_spread":0.2702195231026859,"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."}}