{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000198859,0.00007584749,0.0004400066,0.00008606662,0.00004898186,0.00001390542,0.00009021923,0.00009792458,0.000780563],"category_scores_gemma":[0.0002359916,0.0000767423,0.0001107838,0.00007605315,0.0001842843,0.00007576024,0.0000213003,0.0002373545,0.0002132189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001358687,"about_ca_system_score_gemma":0.0003449249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005838687,"about_ca_topic_score_gemma":0.00005268148,"domain_scores_codex":[0.9989874,0.00003312249,0.0004835927,0.00009809498,0.0001840089,0.0002137795],"domain_scores_gemma":[0.9990899,0.00005221163,0.0002809161,0.0001140757,0.0003021511,0.0001607441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0006894999,0.0009334346,0.01370321,0.0001947436,0.0009039337,0.6518944,0.0003587607,0.000001776269,0.002788009,0.0004005408,0.1501023,0.1780294],"study_design_scores_gemma":[0.003319728,0.0006710856,0.02841989,0.0003773478,0.000117506,0.9398466,0.0000432478,0.000007540755,0.004751451,0.0003732081,0.02200783,0.00006452198],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872907,0.001901844,0.00008177479,0.0006480347,0.0004690004,0.0000740847,0.000001901854,0.00001354518,0.009519151],"genre_scores_gemma":[0.9957182,0.00022483,0.002638056,0.0004618539,0.000470674,8.938376e-7,0.000001851783,0.00001490047,0.0004687563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2879523,"threshold_uncertainty_score":0.8546618,"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."}}