{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009099123,0.0001408205,0.0003027891,0.00008433784,0.00007270327,0.00002262002,0.0007459939,0.0002756042,0.00008965387],"category_scores_gemma":[0.0008045579,0.0001332271,0.00007435182,0.0001131091,0.0002002484,0.000008329222,0.002189923,0.0001020316,0.0001493518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001476491,"about_ca_system_score_gemma":0.0003668002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005702965,"about_ca_topic_score_gemma":0.0004859376,"domain_scores_codex":[0.9982856,0.00008250407,0.0006711856,0.0005543976,0.0001387621,0.000267582],"domain_scores_gemma":[0.9978296,0.000235717,0.0002215553,0.001361361,0.0001949744,0.0001568164],"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":[0.001662627,0.0003435618,0.007053981,0.00002642606,0.0002303823,0.00003447584,0.0001514157,0.0003518867,0.1150291,0.0007108807,0.2529521,0.6214532],"study_design_scores_gemma":[0.0007335443,0.002959127,0.01735183,0.00001316525,0.00003885165,0.00001337315,0.00006043422,0.0002614546,0.005316244,0.0000948769,0.9729933,0.0001638626],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833438,0.0001154733,0.007184869,0.0004056974,0.001402387,0.000529924,0.0001471191,0.00001232226,0.006858347],"genre_scores_gemma":[0.9073391,0.001571624,0.08399229,0.004251087,0.001184438,0.00003130465,0.0003112848,0.00003453912,0.001284367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7200412,"threshold_uncertainty_score":0.5432842,"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."}}