{"id":"W3154107589","doi":"10.1186/s13059-021-02315-0","title":"Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions","year":2021,"lang":"en","type":"article","venue":"Genome biology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; London Health Sciences Centre","funders":"National Institutes of Health; National Cancer Institute; U.S. National Library of Medicine; U.S. Food and Drug Administration; National Institute of General Medical Sciences; National Natural Science Foundation of China","keywords":"Coding (social sciences); Confidence interval; Biology; Sensitivity (control systems); Food and drug administration; Computational biology; Computer science; Statistics; Data mining; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002321255,0.0002126544,0.000280513,0.00004679635,0.0001743227,0.00005365681,0.0001016196,0.0001498749,0.00002013097],"category_scores_gemma":[0.0001597945,0.0001906945,0.00004745482,0.0000763861,0.0001260535,0.000004583289,0.0002553797,0.0001444134,0.00001352906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005114462,"about_ca_system_score_gemma":0.0001837525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006165395,"about_ca_topic_score_gemma":0.0002025818,"domain_scores_codex":[0.9985852,0.0001152086,0.0002211693,0.0006551747,0.00006440644,0.0003588384],"domain_scores_gemma":[0.9990815,0.0001092478,0.00009562115,0.000481798,0.0001063352,0.0001254833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004866586,0.0002654943,0.4145964,0.00002285216,0.0002162345,0.0001503365,0.00009291025,0.0007877995,0.5807539,0.001139511,0.00009878378,0.001389084],"study_design_scores_gemma":[0.001819554,0.002188262,0.9786014,0.00001212118,0.00007166739,0.0002656053,0.0001155388,0.00009187113,0.009762521,0.0001271066,0.006495326,0.0004490345],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983648,0.0004654952,0.0002201748,0.000165886,0.0001333235,0.0002311777,0.000101485,0.00001084771,0.0003068181],"genre_scores_gemma":[0.997423,0.0007648443,0.0003397109,0.0005801684,0.0003504074,0.00001752081,0.000222754,0.00002586569,0.0002757177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5709914,"threshold_uncertainty_score":0.7776296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825182245019406,"score_gpt":0.2838581618087263,"score_spread":0.2656063393585322,"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."}}