{"id":"W2802234447","doi":"10.1111/bjh.15226","title":"Abstracts","year":2018,"lang":"en","type":"article","venue":"British Journal of Haematology","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Tyrosine-kinase inhibitor; Tyrosine kinase; Imatinib; Molecular biomarkers","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001860684,0.001021208,0.0008146807,0.001792407,0.001482407,0.004078977,0.001700115,0.002226362,0.7517387],"category_scores_gemma":[0.01176502,0.0002963318,0.0009507309,0.001659194,0.0004272718,0.002106875,0.002251745,0.001828672,0.5827655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001961069,"about_ca_system_score_gemma":0.003130294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001631203,"about_ca_topic_score_gemma":0.001836995,"domain_scores_codex":[0.9981172,0.0003075965,0.0002248123,0.0002548484,0.0009124107,0.000183222],"domain_scores_gemma":[0.9925213,0.0007923032,0.0004095351,0.0004942769,0.003982897,0.001799636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001787394,0.00003235212,0.0002264507,0.000580945,0.00000948995,0.0001805455,0.00005032656,0.00003584398,0.0003550243,0.001744394,0.9262452,0.07036069],"study_design_scores_gemma":[0.00002432531,0.00002771591,0.0004097004,0.000283396,0.000005839944,0.0002632658,0.00006119395,0.00001982397,0.0001492723,0.001126512,0.9976221,0.000006753115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003145085,0.02098203,0.004094878,0.061474,0.1189745,0.00150147,0.04171731,0.002261594,0.7458491],"genre_scores_gemma":[0.01316182,0.01072096,0.001876963,0.01560805,0.01945801,0.0006695808,0.01868724,0.0009534999,0.9188638],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2482613,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591110200505056,"score_gpt":0.2857256306784795,"score_spread":0.2698145286734289,"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."}}