{"id":"W3041023111","doi":"10.1200/cci.19.00169","title":"Collaborative, Multidisciplinary Evaluation of Cancer Variants Through Virtual Molecular Tumor Boards Informs Local Clinical Practices","year":2020,"lang":"en","type":"review","venue":"JCO Clinical Cancer Informatics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Toronto; University Health Network","funders":"National Cancer Institute; National Human Genome Research Institute","keywords":"Data sharing; Context (archaeology); Data science; Health informatics tools; Harmonization; Informatics; Multidisciplinary approach; Translational research; Knowledge management; Computer science; Medicine; Political science; Biology; Pathology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003250828,0.0007911198,0.002843458,0.0000855207,0.0001202003,0.0001015126,0.0009725151,0.001205765,0.0001133679],"category_scores_gemma":[0.005466527,0.0006597887,0.00117835,0.0005998617,0.0006810438,0.000064698,0.000991895,0.001135705,0.00004477805],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002609422,"about_ca_system_score_gemma":0.01250733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001341017,"about_ca_topic_score_gemma":0.0002924619,"domain_scores_codex":[0.9914973,0.0006528079,0.005472288,0.0006884506,0.001159916,0.0005292624],"domain_scores_gemma":[0.9887029,0.0008014104,0.007513626,0.00106429,0.001534104,0.0003836899],"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":[0.0003277056,0.0003344958,0.0004256654,0.003814858,0.001489093,0.00001120099,0.0002565099,0.001364017,0.00000311667,0.0001714785,0.007536814,0.984265],"study_design_scores_gemma":[0.002283846,0.001289752,0.000107852,0.002345682,0.003907224,0.000008936983,0.0004895634,0.003319576,0.00006037408,0.00005370445,0.985298,0.0008354402],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002319736,0.9861449,0.002207914,0.0001201419,0.002804656,0.002392274,0.002523067,0.00002494956,0.001462337],"genre_scores_gemma":[0.0008161633,0.9924634,0.002502518,0.001031589,0.001516661,0.0006442206,0.0008753507,0.0001035384,0.00004653218],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9834296,"threshold_uncertainty_score":0.9995853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1169886012622847,"score_gpt":0.5069968476516385,"score_spread":0.3900082463893538,"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."}}