{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007498894,0.0002501326,0.000239395,0.000588673,0.0002339535,0.0003961769,0.0003305782,0.0002381622,0.0009055785],"category_scores_gemma":[0.001704078,0.0001353384,0.000277002,0.0009096014,0.0002412661,0.0002686408,0.0003534844,0.0006082883,0.0001026617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004401558,"about_ca_system_score_gemma":0.000483664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002759728,"about_ca_topic_score_gemma":0.004323984,"domain_scores_codex":[0.9996923,0.00006900365,0.00004071666,0.00006151282,0.00008068761,0.00005577279],"domain_scores_gemma":[0.9977922,0.0002999107,0.001411663,0.000085198,0.000132698,0.0002783031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000039431,0.000008407973,0.9994059,0.000004870289,0.0000121698,0.00002201863,0.000007016287,0.00003167195,0.00004049993,0.000003610139,0.00002172675,0.0004027185],"study_design_scores_gemma":[0.000002913923,0.00003922158,0.999582,0.000003363024,0.00001367775,0.0001553566,0.00002019158,0.00006803853,0.00003581164,0.000008136387,0.00007059635,8.403831e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991254,0.000360329,0.00004234215,0.00003458282,0.0000038753,0.000004062721,0.0002925654,0.000001822216,0.0001349662],"genre_scores_gemma":[0.9990389,0.0002074258,0.00007990763,0.00001383228,0.00001067763,0.000009811624,0.0005821792,0.000001388881,0.00005586234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002759728,"threshold_uncertainty_score":0.005487382,"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."}}