{"id":"W3046204049","doi":"10.1158/1538-7445.pedca19-ia28","title":"Abstract IA28: Tumor uniformity","year":2020,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Transcriptome; Citation; Computational biology; Medicine; Pediatric cancer; Cancer research; Tumor cells; Biology; Gene; Library science; Genetics; Computer science; Gene expression; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001178262,0.0003051318,0.0003963434,0.000837817,0.0006495955,0.001745981,0.0005086181,0.0004910254,0.01210999],"category_scores_gemma":[0.001770044,0.0001846933,0.0002612399,0.0008050592,0.00103105,0.000715366,0.001100719,0.001428939,0.003820295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658175,"about_ca_system_score_gemma":0.001216049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001806804,"about_ca_topic_score_gemma":0.00170495,"domain_scores_codex":[0.9992834,0.0001370204,0.00003875153,0.0001874172,0.0002531135,0.0001003226],"domain_scores_gemma":[0.9988072,0.0002465189,0.0002086954,0.0001825021,0.0003264064,0.0002287315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001247639,0.0001145331,0.03125339,0.001161963,0.000116172,0.003133249,0.0008300471,0.001737528,0.1437607,0.2261316,0.1675917,0.4229216],"study_design_scores_gemma":[0.0000590489,0.0005027573,0.08571436,0.0002693801,0.0001233883,0.01665981,0.0007091874,0.001731995,0.08361504,0.05612886,0.7544149,0.00007128915],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2239681,0.06719383,0.09863209,0.04503883,0.005509911,0.0004634782,0.01374795,0.003016323,0.5424295],"genre_scores_gemma":[0.881164,0.01093396,0.01070908,0.00516523,0.00196343,0.0001642867,0.00489192,0.0005731178,0.08443501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01210999,"threshold_uncertainty_score":0.04051197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06688277803913363,"score_gpt":0.374727287934072,"score_spread":0.3078445098949383,"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."}}