{"id":"W3006487497","doi":"10.1182/blood.2019003928","title":"CML in megakaryocytic transformation and extramedullary infiltration","year":2020,"lang":"en","type":"article","venue":"Blood","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Infiltration (HVAC); Medicine; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002462979,0.0001295757,0.0002348031,0.0002309749,0.0001800726,0.0003425415,0.0001284247,0.0003381594,0.0137131],"category_scores_gemma":[0.0003235158,0.00005174046,0.0001624426,0.0002375379,0.0001508072,0.0001893069,0.0002576817,0.0003820658,0.0008788334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002638529,"about_ca_system_score_gemma":0.0003628776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003242584,"about_ca_topic_score_gemma":0.00110676,"domain_scores_codex":[0.99989,0.00004204174,0.000009757864,0.000009410107,0.00002394413,0.00002477916],"domain_scores_gemma":[0.9998927,0.00003106868,0.00002712183,0.000007222621,0.00001135972,0.00003052477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.01329286,0.001351828,0.06084144,0.002551941,0.0002647872,0.00680468,0.0002248502,0.0004479448,0.05190386,0.01671094,0.03019458,0.8154104],"study_design_scores_gemma":[0.003525179,0.01466435,0.3849216,0.001616834,0.000862526,0.02730648,0.0006290199,0.0008479944,0.03594184,0.01111104,0.5185393,0.00003377708],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5707485,0.1521778,0.001874828,0.01191221,0.001814029,0.0005081512,0.001416067,0.0001367483,0.2594117],"genre_scores_gemma":[0.9554195,0.01474577,0.0009700569,0.002463406,0.001166197,0.00008557392,0.0005311721,0.000008360838,0.02460993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0137131,"threshold_uncertainty_score":0.04587483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01807943116051278,"score_gpt":0.244336848639094,"score_spread":0.2262574174785812,"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."}}