{"id":"W2947940526","doi":"10.1016/j.exphem.2019.05.003","title":"Pediatric leukemia: Moving toward more accurate models","year":2019,"lang":"en","type":"review","venue":"Experimental Hematology","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Hôpital de l'Enfant-Jésus; Université de Montréal; Centre hospitalier universitaire de Québec; Institute for Research in Immunology and Cancer","funders":"Canadian Cancer Society Research Institute","keywords":"Leukemia; Computer science; Medicine; Computational biology; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003867618,0.001766144,0.003435129,0.002163953,0.000275589,0.002453568,0.002885726,0.002504067,0.005420574],"category_scores_gemma":[0.005427491,0.0004630079,0.001486484,0.001526384,0.001160386,0.003302286,0.001178323,0.004147508,0.002320687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002023664,"about_ca_system_score_gemma":0.003723822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002531836,"about_ca_topic_score_gemma":0.003565966,"domain_scores_codex":[0.9991261,0.0003775801,0.00008912499,0.0001330038,0.0002209111,0.00005328453],"domain_scores_gemma":[0.9958414,0.003079792,0.0002515679,0.000140007,0.0005683602,0.0001188026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001690874,0.0001135398,0.0007927208,0.03624916,0.00056786,0.0001834222,0.00006695931,0.00500191,0.0007989008,0.03838012,0.07716443,0.8405119],"study_design_scores_gemma":[0.00007387654,0.0001398464,0.0007606068,0.01576029,0.0009515376,0.0006207472,0.0001024818,0.002316361,0.0005293196,0.0405105,0.9381648,0.00006963169],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001131972,0.9945608,0.0019844,0.001926311,0.0005330523,0.00001162435,0.0001020062,0.00003388556,0.0007347596],"genre_scores_gemma":[0.001431701,0.9942781,0.002035553,0.001263799,0.0004955579,0.00002803137,0.0001712789,0.000008212984,0.0002878045],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005420574,"threshold_uncertainty_score":0.02045411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1284470145976232,"score_gpt":0.4224455466601128,"score_spread":0.2939985320624896,"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."}}