{"id":"W3172298753","doi":"10.1200/jco.2021.39.15_suppl.9027","title":"Clinical outcomes for plasma-based comprehensive genomic profiling versus tissue testing in advanced lung adenocarcinoma.","year":2021,"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":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Medicine; Genotyping; Internal medicine; Oncology; Lung cancer; ROS1; Prospective cohort study; Targeted therapy; Biomarker; Adenocarcinoma; Cancer; Genotype","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":[0.002217789,0.0001728136,0.000550493,0.0002659418,0.0001966822,0.0007108709,0.0002050775,0.0003830396,0.00167147],"category_scores_gemma":[0.003754591,0.0001078578,0.0008321509,0.0004255861,0.0002449786,0.000550694,0.0004211594,0.0006705703,0.0002713408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006632079,"about_ca_system_score_gemma":0.0004390209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005538888,"about_ca_topic_score_gemma":0.001069942,"domain_scores_codex":[0.9989767,0.0004154059,0.00008996969,0.0002539759,0.0001786908,0.00008525392],"domain_scores_gemma":[0.9974787,0.0009245808,0.0008401065,0.0001197054,0.0001545373,0.0004823944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.09566779,0.00104365,0.8077506,0.0003657755,0.001024024,0.0001943984,0.000157838,0.001387897,0.003388613,0.000241155,0.002333604,0.0864446],"study_design_scores_gemma":[0.003137811,0.03485641,0.9513243,0.0001185766,0.001166261,0.000702329,0.0002176594,0.0037301,0.001536739,0.0004333245,0.0027409,0.00003555866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952217,0.001909615,0.0003147209,0.0002251941,0.00003558325,0.00007467397,0.0007488967,0.00001266649,0.001456998],"genre_scores_gemma":[0.9986616,0.0002072737,0.0001377446,0.0001151142,0.00002514415,0.00004275601,0.0006313796,0.000003286175,0.0001755824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002217789,"threshold_uncertainty_score":0.01172888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1383973936595239,"score_gpt":0.46860854919385,"score_spread":0.3302111555343262,"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."}}