{"id":"W4411460229","doi":"10.3324/haematol.2025.288065","title":"Olverembatinib in chronic myeloid leukemia: is less actually better?","year":2025,"lang":"en","type":"article","venue":"Haematologica","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Myeloid leukemia; Medicine; Cancer research; Immunology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001754311,0.0003573733,0.0008689142,0.000281939,0.00009585705,0.00002628375,0.0002706282,0.0003779502,0.001001647],"category_scores_gemma":[0.000155374,0.0002860671,0.0001776784,0.0005823932,0.0001503658,0.00006037473,0.0001816873,0.0005244407,0.0003880495],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004502568,"about_ca_system_score_gemma":0.001986759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002145177,"about_ca_topic_score_gemma":0.0002123769,"domain_scores_codex":[0.9977707,0.00007200181,0.0005770727,0.0006584143,0.0002964146,0.0006254094],"domain_scores_gemma":[0.998738,0.0002047555,0.0001263527,0.0007441547,0.00006362367,0.0001231366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002358597,0.002054573,0.3552573,0.005296752,0.002114232,0.01435293,0.004716166,0.0002087154,0.02278292,0.01732641,0.1619917,0.4115397],"study_design_scores_gemma":[0.06809964,0.003006047,0.635715,0.008063315,0.001372987,0.003103145,0.002632371,0.009563877,0.1187145,0.01056215,0.136345,0.002821944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539325,0.001652767,0.00008224186,0.00323243,0.0001715614,0.0007682073,0.00001063771,0.000196214,0.03995343],"genre_scores_gemma":[0.9901865,0.0002834476,0.00130352,0.004011426,0.00006893226,0.0001499449,0.0000400038,0.0000253702,0.003930835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4087177,"threshold_uncertainty_score":0.9999592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02647662499174571,"score_gpt":0.2971282614366661,"score_spread":0.2706516364449204,"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."}}