{"id":"W2788554175","doi":"10.1200/po.17.00122","title":"Oncologists’ Use of Genomic Sequencing Data to Inform Clinical Management","year":2018,"lang":"en","type":"article","venue":"JCO Precision Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bristol-Myers Squibb (Canada)","funders":"National Center for Advancing Translational Sciences; National Human Genome Research Institute","keywords":"Medicine; Medical record; Documentation; Clinical Oncology; DNA sequencing; MEDLINE; Family medicine; Cancer; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008068981,0.00009789223,0.0001199073,0.0007928715,0.0006882987,0.0009066102,0.0003266384,0.000573577,0.001176141],"category_scores_gemma":[0.05226095,0.0001442833,0.0001207962,0.0005577942,0.0005077302,0.0006953013,0.0009554397,0.000565036,0.0002305817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008910151,"about_ca_system_score_gemma":0.001922155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002628507,"about_ca_topic_score_gemma":0.005228842,"domain_scores_codex":[0.9897783,0.007185694,0.0008955978,0.0004590608,0.001327994,0.0003533199],"domain_scores_gemma":[0.9400265,0.02928078,0.0237674,0.001831604,0.003222272,0.001871511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001390262,0.00007748654,0.9396229,0.0001503539,0.0000377771,0.0002923246,0.006452278,0.0002296509,0.001518851,0.0001672319,0.002917391,0.04839477],"study_design_scores_gemma":[0.00005010329,0.0006507464,0.9348012,0.0008113846,0.0001045431,0.003089746,0.02523699,0.002211689,0.004047587,0.0005331085,0.0284048,0.00005803359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822939,0.002136414,0.001416712,0.008209015,0.00005959685,0.00006052803,0.0003353274,0.00003523008,0.005453293],"genre_scores_gemma":[0.9958442,0.0008009519,0.001549299,0.001379217,0.00005128024,0.0000394729,0.0001095476,0.000004890999,0.0002211676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008068981,"threshold_uncertainty_score":0.04267335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.203960295204313,"score_gpt":0.4327402469800385,"score_spread":0.2287799517757255,"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."}}