{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006372652,0.00008060635,0.0003027938,0.0006738908,0.0001128872,0.00001230671,0.0001388197,0.0001165888,0.00004269888],"category_scores_gemma":[0.0003487457,0.00006834319,0.00006390947,0.0005734692,0.0001110919,0.00004734012,0.000004716552,0.0002996247,0.00009776447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001925652,"about_ca_system_score_gemma":0.002501721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007465284,"about_ca_topic_score_gemma":0.0004432223,"domain_scores_codex":[0.9988313,0.00002609425,0.0004802012,0.00008512817,0.0001590097,0.0004182773],"domain_scores_gemma":[0.999324,0.00006505429,0.0001871119,0.0001732681,0.0001194739,0.0001311374],"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":[0.00005478407,0.00003420014,0.06725281,0.001957076,0.0001451196,0.005097259,0.00332406,0.00002377502,0.0007389197,0.009998475,0.05853961,0.8528339],"study_design_scores_gemma":[0.00339372,0.001826216,0.2302063,0.003467532,0.0001045095,0.01015873,0.03178218,0.00007823281,0.008627799,0.01433675,0.6955739,0.0004440715],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8299059,0.01822845,0.0004883265,0.1457921,0.0009876664,0.000530549,0.00003832648,0.0006741004,0.003354616],"genre_scores_gemma":[0.9980378,0.0006927487,0.0006282419,0.000429834,0.00001321709,0.000003316398,0.000006813105,0.00001402659,0.0001740459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8523898,"threshold_uncertainty_score":0.4437947,"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."}}