{"id":"W2946973054","doi":"10.1200/jco.2019.37.15_suppl.2620","title":"Non-small cell lung cancer (NSCLC) next generation sequencing (NGS) using the Oncomine Comprehensive Assay (OCA) v3: Integrating expanded genomic sequencing into the Canadian publicly funded health care model.","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Medicine; KRAS; Oncology; Internal medicine; Lung cancer; Clinical trial; Stage (stratigraphy); Cohort; Cancer; Clinical endpoint; Bioinformatics; Colorectal cancer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002212646,0.0003285354,0.0002842769,0.0006739945,0.0007467004,0.0008215444,0.0005940303,0.0002680097,0.003310348],"category_scores_gemma":[0.002413759,0.0001817952,0.0003536894,0.0008421607,0.0004215658,0.0002593654,0.0007957906,0.0004593902,0.0005216475],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007445222,"about_ca_system_score_gemma":0.01309749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5587913,"about_ca_topic_score_gemma":0.8534513,"domain_scores_codex":[0.9987203,0.0002760567,0.00005290855,0.0001988648,0.0006037672,0.0001482495],"domain_scores_gemma":[0.9989216,0.0002067578,0.0001443181,0.00007003974,0.0004408991,0.0002163409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003776565,0.0004284745,0.5893073,0.0008983373,0.0004598793,0.0005115155,0.000856906,0.006793304,0.04545493,0.004116074,0.04967856,0.2977182],"study_design_scores_gemma":[0.0007381284,0.001414173,0.8525907,0.0003050377,0.0004222252,0.001006734,0.0005751456,0.02378458,0.02409173,0.00247371,0.0924805,0.000117341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8603531,0.008197185,0.02736271,0.004671488,0.0001391649,0.002687303,0.04442208,0.001558941,0.05060792],"genre_scores_gemma":[0.9331885,0.001878076,0.04214191,0.001292835,0.00003752933,0.000557317,0.01469883,0.0000830207,0.006121972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9925548,"threshold_uncertainty_score":0.8876141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1425980725846006,"score_gpt":0.403416434793048,"score_spread":0.2608183622084474,"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."}}