{"id":"W2991725433","doi":"10.3324/haematol.2019.231753","title":"Are we ready to use precision medicine in chronic myeloid leukemia practice?","year":2019,"lang":"en","type":"letter","venue":"Haematologica","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Myeloid leukemia; Precision medicine; Medicine; Internal medicine; Oncology; Intensive care medicine; Pathology","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":[0.01030169,0.0006260629,0.001291131,0.001076418,0.008267864,0.008951422,0.001783242,0.06810464,0.01980422],"category_scores_gemma":[0.09062319,0.001008361,0.001150367,0.001082124,0.007817734,0.009732703,0.005067474,0.05606691,0.008974128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009071769,"about_ca_system_score_gemma":0.02173436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01060923,"about_ca_topic_score_gemma":0.01924922,"domain_scores_codex":[0.9868443,0.004899237,0.001757269,0.001152213,0.003601372,0.001745543],"domain_scores_gemma":[0.9422844,0.02708605,0.004432043,0.001668147,0.007391832,0.01713753],"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":[0.00004541954,0.00004458894,0.001404199,0.0001086345,0.00001735227,0.001533431,0.0002684215,0.00009735981,0.00012098,0.007799058,0.9698748,0.01868574],"study_design_scores_gemma":[0.0002011987,0.00011142,0.00150693,0.001108874,0.00003335247,0.002948085,0.001257528,0.0004024744,0.0001829915,0.03286766,0.9592648,0.0001147963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00007975196,0.0004689266,0.00002871259,0.9949954,0.003509095,0.000002369304,0.00000672191,0.000005722771,0.0009033526],"genre_scores_gemma":[0.002234293,0.001056769,0.000221554,0.975895,0.01875208,0.00001786293,0.00001084235,0.00001116831,0.001800515],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06810464,"threshold_uncertainty_score":0.0662517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09269146297885146,"score_gpt":0.3662340559388222,"score_spread":0.2735425929599708,"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."}}