{"id":"W2973554821","doi":"10.1002/cam4.2554","title":"Associations between pretherapeutic body mass index, outcome, and cytogenetic abnormalities in pediatric acute myeloid leukemia","year":2019,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Kræftens Bekæmpelse; Novo Nordisk Fonden; Børnecancerfonden; Novo Nordisk","keywords":"Myeloid leukemia; Medicine; Body mass index; Index (typography); Leukemia; Outcome (game theory); Oncology; Myeloid; Pediatrics; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000931427,0.0003392806,0.001158541,0.0004020142,0.00006810662,0.00001681415,0.000188979,0.0002398595,0.0004227611],"category_scores_gemma":[0.0001550994,0.0002996284,0.00008509444,0.0006310723,0.0001580348,0.000139645,0.00006285495,0.000614745,0.0000325387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000817607,"about_ca_system_score_gemma":0.0005685209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001696248,"about_ca_topic_score_gemma":0.0003676561,"domain_scores_codex":[0.9969845,0.0001535304,0.001008217,0.0005307518,0.0007773719,0.0005456072],"domain_scores_gemma":[0.9983039,0.0004443932,0.0003370788,0.000484667,0.0001274259,0.0003024579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007025606,0.00001833642,0.9953147,0.000335163,0.0002135082,0.0000119249,0.001948944,0.00001312257,0.0002539228,0.00005639488,0.0005838663,0.001179898],"study_design_scores_gemma":[0.005320852,0.0003735924,0.9903989,0.0002751903,0.0007175617,0.000009329406,0.0004637514,0.00005945099,0.000103924,0.0002178811,0.001763656,0.0002959383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800488,0.007462867,0.00007416536,0.008695788,0.0006798169,0.0009141513,0.0001119454,0.00009547838,0.001916967],"genre_scores_gemma":[0.9884577,0.003336905,0.00008091948,0.004007199,0.001819655,0.00007180501,0.0001100576,0.00005947566,0.00205633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008408832,"threshold_uncertainty_score":0.9999456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03696359593860857,"score_gpt":0.3437755775343928,"score_spread":0.3068119815957842,"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."}}