{"id":"W2278983443","doi":"10.1038/bjc.2016.22","title":"Clinical impact of mutation fraction in epidermal growth factor receptor mutation positive NSCLC patients","year":2016,"lang":"en","type":"article","venue":"British Journal of Cancer","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Grand River Hospital; Juravinski Cancer Centre; Ottawa Regional Cancer Foundation; Mount Sinai Hospital; Credit Valley Hospital; Ottawa Hospital; Princess Margaret Cancer Centre; Toronto General Hospital; Toronto East General Hospital; York Central Hospital; University Health Network","funders":"University of Toronto; University Health Network","keywords":"Hazard ratio; Medicine; Internal medicine; Odds ratio; Oncology; Epidermal growth factor receptor; Mutation; Cohort; Population; Proportional hazards model; Confidence interval; Cancer; Biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004614506,0.0001774188,0.0003226499,0.0004974887,0.0002962357,0.0005649657,0.0002267025,0.0004125701,0.001260299],"category_scores_gemma":[0.001916736,0.0001336476,0.0002748658,0.0004979422,0.0002405454,0.0003780262,0.000255972,0.0003740735,0.0002324493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002193272,"about_ca_system_score_gemma":0.0001828751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009554,"about_ca_topic_score_gemma":0.001167104,"domain_scores_codex":[0.9997578,0.00004309322,0.00002742616,0.00007773611,0.00004820976,0.00004569783],"domain_scores_gemma":[0.9989379,0.0002789199,0.0004769257,0.00005302592,0.00007039607,0.0001827967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001884285,0.00001106596,0.9986363,0.000003997082,0.00001597976,0.000106833,0.00001953291,0.00003828899,0.0003322907,0.000005235269,0.00002028833,0.0006218773],"study_design_scores_gemma":[0.000003743391,0.0001596611,0.9984125,0.000002599961,0.00001818799,0.0009768992,0.00006667225,0.0001342665,0.0001152624,0.00002393907,0.00008357144,0.000002639656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995634,0.0001393557,0.00003034034,0.00001434754,0.00000165406,0.000002157537,0.0001208485,0.000001702186,0.0001262108],"genre_scores_gemma":[0.9998385,0.0000206276,0.00001592166,0.000005146272,0.000002041291,0.000001771016,0.0000893785,6.778044e-7,0.00002595891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001260299,"threshold_uncertainty_score":0.004216135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587283611516839,"score_gpt":0.385789185036649,"score_spread":0.3699163489214806,"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."}}