{"id":"W2760217744","doi":"10.1182/bloodadvances.2017009530","title":"Impact of genomic alterations on outcomes in myelofibrosis patients undergoing JAK1/2 inhibitor therapy","year":2017,"lang":"en","type":"article","venue":"Blood Advances","topic":"Myeloproliferative Neoplasms: Diagnosis and Treatment","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Myelofibrosis; Ruxolitinib; Hazard ratio; Internal medicine; Medicine; Mutation; International Prognostic Scoring System; Oncology; Myeloid; Proportional hazards model; Univariate analysis; EZH2; Multivariate analysis; Gastroenterology; Bone marrow; Gene; Myelodysplastic syndromes; Confidence interval; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004612389,0.0001829296,0.0003931791,0.0001051782,0.0001678961,0.00003886213,0.00008839283,0.00004113913,0.00006011067],"category_scores_gemma":[0.0001218039,0.0001208373,0.0001494048,0.00003599046,0.0000525229,0.0002103407,0.00002501841,0.00007294397,0.00001608436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007259667,"about_ca_system_score_gemma":0.00009058733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000080112,"about_ca_topic_score_gemma":0.0001969244,"domain_scores_codex":[0.9990898,0.00002599883,0.0002786939,0.0002392391,0.0001820785,0.000184183],"domain_scores_gemma":[0.9991111,0.0001617699,0.0002187738,0.0003690578,0.00006744181,0.00007183741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001584407,0.002021656,0.9884581,0.00001851298,0.0001945065,0.000006039397,0.0001776865,0.00005609305,0.001471366,0.0001058215,0.00002179248,0.007309966],"study_design_scores_gemma":[0.006431504,0.002675141,0.9734593,0.0001686591,0.00003827795,0.000001007817,0.0000159789,0.000006380122,0.01689049,0.00009853412,0.0001124474,0.0001022518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974194,0.0004687179,0.000001894122,0.000306065,0.0001098346,0.0005194494,0.00005021752,0.00001252727,0.001111931],"genre_scores_gemma":[0.9979576,0.001194492,0.0005016748,0.00007584783,0.00006106903,0.00007867804,0.00002345662,0.00001666837,0.00009044538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01541913,"threshold_uncertainty_score":0.4927602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0215481987732849,"score_gpt":0.3306444931474278,"score_spread":0.3090962943741429,"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."}}