{"id":"W3029949142","doi":"10.1200/jco.2020.38.15_suppl.3562","title":"Exomes and transcriptomes to reveal actionable findings in patients with negative-targeted panel sequencing.","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Ontario Institute for Cancer Research; Princess Margaret Cancer Centre; Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Exome sequencing; Medicine; Exome; Genetics; DNA sequencing; Cancer; Transcriptome; Computational biology; Bioinformatics; Mutation; Gene; Biology; Internal medicine; Gene expression","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007017148,0.0003590459,0.0002733516,0.0008979628,0.000266545,0.0007819582,0.0002427325,0.0004798193,0.003222622],"category_scores_gemma":[0.001689139,0.0001630984,0.0003200547,0.0006224491,0.000203874,0.0003964589,0.0005354903,0.000329309,0.00087089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003477562,"about_ca_system_score_gemma":0.0001981419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007661486,"about_ca_topic_score_gemma":0.001559522,"domain_scores_codex":[0.9996804,0.00004842434,0.00003603303,0.0001195386,0.00007071724,0.000044939],"domain_scores_gemma":[0.9995317,0.000192469,0.0001052743,0.0000524384,0.00006500696,0.00005301682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002476627,0.0001258703,0.7181623,0.0005544409,0.0003684901,0.005470633,0.0006761752,0.002830988,0.1731104,0.001234539,0.01062861,0.0843609],"study_design_scores_gemma":[0.0001323974,0.0003992294,0.8981287,0.0001771887,0.0004566766,0.01417783,0.0007422291,0.01275346,0.03897362,0.003923293,0.03009569,0.00003968665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667331,0.002855376,0.008505462,0.0009223038,0.00005700739,0.0001034252,0.0145789,0.0003016462,0.005942737],"genre_scores_gemma":[0.9811038,0.0006431833,0.005239488,0.0005001273,0.00002637672,0.00007815619,0.0109737,0.00006391132,0.001371191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003222622,"threshold_uncertainty_score":0.01078069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0681799276964836,"score_gpt":0.3524233963220037,"score_spread":0.2842434686255201,"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."}}