{"id":"W4386270977","doi":"10.1016/s2152-2650(23)01133-3","title":"CML-311 Matching-Adjusted Indirect Comparisons (MAICs) of Asciminib vs Other Tyrosine Kinase Inhibitors (TKIs) in Third- or Later-Line Chronic Myeloid Leukemia in Chronic Phase (CML-CP)","year":2023,"lang":"en","type":"article","venue":"Clinical Lymphoma Myeloma & Leukemia","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"EVERSANA (Canada)","funders":"","keywords":"Myeloid leukemia; Tyrosine kinase; Medicine; Internal medicine; Tyrosine-kinase inhibitor; Oncology; Dasatinib; Cancer research; Imatinib; 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":[0.006006849,0.0007701615,0.001324657,0.0006100586,0.0004948331,0.0009907358,0.001199868,0.001033424,0.009878857],"category_scores_gemma":[0.01312504,0.0004640845,0.004110634,0.0008186701,0.000593894,0.001135553,0.001454673,0.001957141,0.0004167366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009488437,"about_ca_system_score_gemma":0.001033346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004222267,"about_ca_topic_score_gemma":0.007238515,"domain_scores_codex":[0.9886476,0.007921722,0.0007189728,0.001401521,0.000551371,0.0007588139],"domain_scores_gemma":[0.9948455,0.003240848,0.0007568987,0.0006524959,0.0001758678,0.0003283414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.6319149,0.002369934,0.2005755,0.002950584,0.07823609,0.0003868154,0.0004818956,0.007027231,0.003999452,0.005001609,0.007280283,0.05977579],"study_design_scores_gemma":[0.1091016,0.1131939,0.5915583,0.000891903,0.09228107,0.001098065,0.00179817,0.04191966,0.007547127,0.01725597,0.02304777,0.0003064914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847312,0.002894519,0.003190664,0.0003444392,0.0003916332,0.0005495115,0.004530128,0.00006401317,0.003303907],"genre_scores_gemma":[0.9960012,0.0001846386,0.001233191,0.0001976801,0.00004428604,0.0002687167,0.0010338,0.000007784858,0.001028654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009878857,"threshold_uncertainty_score":0.03304803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06451954575063161,"score_gpt":0.3641190200027269,"score_spread":0.2995994742520953,"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."}}