{"id":"W2914304977","doi":"10.1093/jncics/pky079","title":"Tumor Variant Identification That Accounts for the Unique Molecular Landscape of Pediatric Malignancies","year":2018,"lang":"en","type":"article","venue":"JNCI Cancer Spectrum","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Michael Cuccione Foundation; Canada Research Chairs; Michael Smith Health Research BC; Canadian Institutes of Health Research; European Hematology Association","keywords":"Medicine; Identification (biology); Computational biology; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001813555,0.0001186568,0.0001164499,0.00003675235,0.00009211436,0.0000352023,0.0002677498,0.0000632017,0.00004323184],"category_scores_gemma":[0.00005428334,0.00009478656,0.0000896942,0.000113577,0.00007177844,0.000003862455,0.00007476131,0.00004022559,0.000004079347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002571713,"about_ca_system_score_gemma":0.0002213957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002029333,"about_ca_topic_score_gemma":0.0004181915,"domain_scores_codex":[0.9992352,0.00001330426,0.000200389,0.0002241593,0.0001156595,0.0002112475],"domain_scores_gemma":[0.9992046,0.00003020563,0.0001951965,0.0004039368,0.0001295397,0.00003655751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006806049,0.0002105103,0.05582247,0.0002350155,0.0004574418,0.00001011323,0.0004995771,0.0005233179,0.8643003,0.01505128,0.05929036,0.002919011],"study_design_scores_gemma":[0.0006421142,0.0002937167,0.03470174,0.00001079349,0.0001633623,0.000009415881,0.0001091956,0.0003207689,0.9379611,0.001445184,0.02409336,0.0002492189],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678991,0.005213356,0.02383637,0.0008548347,0.001021035,0.0004893467,0.0003198603,0.000009900096,0.000356144],"genre_scores_gemma":[0.995833,0.001669042,0.0002642015,0.0004543293,0.001400813,0.0001474807,0.0000339753,0.00002469706,0.0001724955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07366083,"threshold_uncertainty_score":0.3865284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115104275121901,"score_gpt":0.2579528922246122,"score_spread":0.2468018494733932,"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."}}