{"id":"W4307130134","doi":"10.51731/cjht.2022.478","title":"Ruxolitinib (Jakavi)","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Chronic Lymphocytic Leukemia Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Ruxolitinib; Medicine; Family medicine; Drug; Pharmacology; Internal medicine; Political science; Health care; Myelofibrosis","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":[0.001157819,0.00009396411,0.0003686019,0.0006748097,0.0004459771,0.00001658251,0.0004141,0.00006742492,0.00039949],"category_scores_gemma":[0.0007601783,0.00008399049,0.00009496721,0.0005311359,0.000231564,0.00004890704,0.00007591292,0.0009516916,0.00001360047],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02327218,"about_ca_system_score_gemma":0.0787003,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009471004,"about_ca_topic_score_gemma":0.0007792936,"domain_scores_codex":[0.9982113,0.00008003524,0.0005162977,0.0001252556,0.0004076938,0.0006593886],"domain_scores_gemma":[0.9990011,0.00006884527,0.0002566148,0.0003317646,0.0001459853,0.0001956853],"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":[0.0001643261,0.00008999217,0.003829691,0.0004413315,0.0001550338,0.007780482,0.001351821,0.0001286033,0.00008668637,0.008292952,0.1271373,0.8505417],"study_design_scores_gemma":[0.004253005,0.001446057,0.001174549,0.0001066467,0.00001374145,0.01238987,0.01078931,0.0001087517,0.0002467051,0.002699234,0.9666614,0.0001107188],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7104363,0.1397303,0.00008739248,0.1437624,0.001043467,0.0007454829,0.00006325112,0.0002417027,0.003889691],"genre_scores_gemma":[0.9977573,0.0002330416,0.0003783924,0.001175901,0.00001885746,0.00001321289,0.000003514675,0.00001799998,0.0004018205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.850431,"threshold_uncertainty_score":0.997125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04092840541870764,"score_gpt":0.3241599007891345,"score_spread":0.2832314953704269,"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."}}