{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.001283764,0.0009865582,0.002988454,0.001412037,0.0001080447,0.00008835884,0.001002066,0.002908553,0.001509409],"category_scores_gemma":[0.01218202,0.0006936698,0.0002298567,0.001205521,0.0003314436,0.0003672387,0.0007230471,0.007557685,0.005279272],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008027962,"about_ca_system_score_gemma":0.002196516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009721997,"about_ca_topic_score_gemma":0.0001160988,"domain_scores_codex":[0.99226,0.0008050684,0.001390061,0.001859479,0.00204367,0.001641761],"domain_scores_gemma":[0.9905826,0.004840502,0.0009998888,0.002578741,0.0006595967,0.0003386418],"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":[0.0008189331,0.00004998624,0.0007083002,0.00136078,0.0001359675,0.03669171,0.0002200345,0.00001792664,0.0003824604,0.00003863173,0.9580493,0.001525945],"study_design_scores_gemma":[0.002891541,0.001439008,0.002672748,0.005416912,0.0002309756,0.004427203,0.0001972859,0.0001543514,0.0001673591,0.00007721561,0.9816599,0.000665456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007967963,0.002160022,0.00009353137,0.9739749,0.0006560548,0.004412154,0.00006835139,0.0002884438,0.01037861],"genre_scores_gemma":[0.005314835,0.004951003,0.002977974,0.938186,0.004254159,0.0005524143,0.0009754609,0.0003145363,0.04247363],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03578889,"threshold_uncertainty_score":0.9995515,"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."}}