{"id":"W4413789968","doi":"10.1016/s2152-2650(25)01954-8","title":"CML-754: Improved Patient-Reported Outcomes (PROs) With Asciminib vs Investigator-Selected Tyrosine Kinase Inhibitors (IS-TKIs) in Newly Diagnosed Chronic Myeloid Leukemia (CML): ASC4FIRST Week 48 PROs Analysis","year":2025,"lang":"en","type":"article","venue":"Clinical Lymphoma Myeloma & Leukemia","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Myeloid leukemia; Tyrosine kinase; Internal medicine; Tyrosine-kinase inhibitor; Oncology; Cancer; Receptor","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":[0.002696325,0.0007944411,0.001121471,0.0004167227,0.0002456443,0.001197392,0.0004942787,0.0005917532,0.004532591],"category_scores_gemma":[0.001989515,0.0002109806,0.004212085,0.0005426559,0.0003590582,0.0009385761,0.0006531607,0.001424939,0.0005040037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292316,"about_ca_system_score_gemma":0.001187131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001873211,"about_ca_topic_score_gemma":0.003932048,"domain_scores_codex":[0.9990454,0.0004013463,0.00006255897,0.0001354028,0.0001525165,0.000202757],"domain_scores_gemma":[0.9989395,0.0002577899,0.0004160136,0.0000770817,0.0000648081,0.0002449717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.7449651,0.002632731,0.09939943,0.001167297,0.01393533,0.0001022719,0.0001035016,0.006721814,0.003061374,0.0007168751,0.008609075,0.1185853],"study_design_scores_gemma":[0.1166964,0.1317803,0.7012017,0.0005591901,0.02187864,0.0004094614,0.0003411779,0.007037527,0.003456406,0.001511268,0.0149735,0.0001543934],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843816,0.003541864,0.0002787494,0.0005589647,0.0001143707,0.0002671728,0.007738039,0.00004238232,0.003076757],"genre_scores_gemma":[0.9898239,0.00112913,0.0003244495,0.0004432931,0.0001389148,0.0002574032,0.006245342,0.00001074289,0.001626792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004532591,"threshold_uncertainty_score":0.01516306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627807281307855,"score_gpt":0.2899104676075157,"score_spread":0.2736323947944371,"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."}}