{"id":"W3202978375","doi":"10.21037/jtd-21-804","title":"Second and later-line erlotinib use in non-small cell lung cancer: real world outcomes and practice patterns overtime in Canada","year":2021,"lang":"en","type":"article","venue":"Journal of Thoracic Disease","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; Public Health Ontario; University Health Network; University of Toronto; Princess Margaret Cancer Centre; William Osler Health System","funders":"University of Toronto; Ontario Ministry of Health and Long-Term Care; Princess Margaret Cancer Foundation; Cancer Care Ontario","keywords":"Erlotinib; Medicine; Hazard ratio; Internal medicine; Lung cancer; Erlotinib Hydrochloride; Cohort; Retrospective cohort study; Proportional hazards model; Oncology; Population; Cancer; Epidermal growth factor receptor; Confidence interval","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000605946,0.0002865446,0.000444009,0.001316647,0.001411973,0.001256145,0.00121981,0.0004853237,0.001577827],"category_scores_gemma":[0.002377176,0.0002910846,0.0007625169,0.004083533,0.0007234335,0.0004964508,0.0008925752,0.0007510193,0.0001630317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03730033,"about_ca_system_score_gemma":0.04294445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9908097,"about_ca_topic_score_gemma":0.9939194,"domain_scores_codex":[0.9985785,0.00006679734,0.0001232626,0.0002770989,0.0004920866,0.0004622772],"domain_scores_gemma":[0.9952365,0.0001777354,0.001875248,0.0001033344,0.001597577,0.001009688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005222842,0.00001698757,0.9959966,0.00005366694,0.00004785437,0.00006820029,0.0002583379,0.0001044578,0.00009247196,0.00005705291,0.0008879683,0.002364135],"study_design_scores_gemma":[0.000007594407,0.00002129833,0.9979849,0.00004607912,0.00002403951,0.00009843863,0.0006339038,0.000249185,0.00005364422,0.0000146404,0.0008568604,0.000009443967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825357,0.002528103,0.0001630358,0.001182247,0.00002507499,0.00006458958,0.01126458,0.00002021198,0.002216395],"genre_scores_gemma":[0.9952385,0.001133866,0.000151691,0.0002279292,0.00001230371,0.00002189658,0.00271561,0.00000651602,0.0004914856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03730033,"threshold_uncertainty_score":0.2706341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734683266948331,"score_gpt":0.355977957216803,"score_spread":0.3386311245473197,"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."}}