{"id":"W2571213554","doi":"10.1182/blood.v120.21.3776.3776","title":"High Risk of Error in Categorizing Treatment Response in Individual CML Patients by Standard Cytogenetic Analysis or PCR Assay with High CV: A Bayesian Analysis","year":2012,"lang":"en","type":"article","venue":"Blood","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Imatinib; Nilotinib; Oncology; Dasatinib; Internal medicine; Medicine; Imatinib mesylate; Statistics; Myeloid leukemia; Mathematics","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":[0.03876716,0.000881896,0.001439587,0.001612577,0.0006413446,0.001862437,0.001174603,0.001550086,0.001249063],"category_scores_gemma":[0.05907565,0.0006327007,0.001857799,0.0008450598,0.001410431,0.00114109,0.001310833,0.002181202,0.0002608899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185833,"about_ca_system_score_gemma":0.001109185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006644454,"about_ca_topic_score_gemma":0.003820473,"domain_scores_codex":[0.9852501,0.01079745,0.0006306264,0.001782632,0.001211871,0.0003274762],"domain_scores_gemma":[0.8927687,0.09966927,0.002975672,0.002303414,0.001879842,0.0004030585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002197881,0.0002447546,0.1026303,0.0003557128,0.001703394,0.000418081,0.0004859892,0.6642721,0.005089848,0.03041799,0.004312269,0.1878717],"study_design_scores_gemma":[0.00007771246,0.0001804933,0.01358835,0.00009002585,0.0002192343,0.0002231619,0.00005047041,0.9598992,0.001249837,0.02327628,0.001085005,0.00006019999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1615198,0.001258436,0.8318741,0.0014488,0.00006544509,0.0004294579,0.0007567551,0.0004023343,0.002244923],"genre_scores_gemma":[0.8591954,0.0004220505,0.136829,0.0006258959,0.0001068419,0.0002969039,0.0008215901,0.00009964462,0.001602757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03876716,"threshold_uncertainty_score":0.2050228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849904446567886,"score_gpt":0.2736854446818671,"score_spread":0.2551864002161882,"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."}}