{"id":"W2943846365","doi":"10.1016/j.cllc.2019.05.003","title":"Outcome Differences Between First- and Second-generation EGFR Inhibitors in Advanced EGFR Mutated NSCLC in a Large Population-based Cohort","year":2019,"lang":"en","type":"article","venue":"Clinical Lung Cancer","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Kingston General Hospital; Princess Margaret Cancer Centre; University of Toronto","funders":"Pfizer Canada; Boehringer Ingelheim; British Microcirculation Society; Bayer; Boehringer Ingelheim España; AstraZeneca Canada; Roche; Genzyme; Eisai; Merck; AstraZeneca; Eli Lilly and Company","keywords":"Medicine; Hazard ratio; Oncology; Internal medicine; Lung cancer; Propensity score matching; Discontinuation; Cohort; Population; Proportional hazards model; Epidermal growth factor receptor; Cancer; Confidence interval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003301934,0.0001891547,0.000615755,0.0001511059,0.00005386894,0.0000222924,0.00005498236,0.0001862624,0.0004409269],"category_scores_gemma":[0.0001369399,0.0001557031,0.00009014998,0.0002823123,0.00003590366,0.0001367181,0.0000233988,0.0002936272,0.00001077032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004646738,"about_ca_system_score_gemma":0.0002108299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008574352,"about_ca_topic_score_gemma":0.01090837,"domain_scores_codex":[0.9980728,0.00008240734,0.0008690665,0.0004946988,0.0002010749,0.0002799481],"domain_scores_gemma":[0.9990573,0.0003496322,0.0001637103,0.0002246181,0.0000620053,0.0001427634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009608671,0.0001598528,0.9964238,0.0001016469,0.00008305651,0.000007948068,0.0001077395,0.0001446284,0.00002725436,0.00002091234,0.0001093176,0.002717703],"study_design_scores_gemma":[0.007058674,0.0001830259,0.9872525,0.0003172022,0.0001687236,4.139173e-7,0.000034137,0.004419724,0.00002337918,0.00002291144,0.0003476312,0.0001716179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955235,0.0006991855,0.00002157504,0.001207293,0.0005887704,0.001493785,0.00009673671,0.00003809636,0.0003310395],"genre_scores_gemma":[0.9976158,0.00007316931,0.0001434587,0.0006933156,0.0002307607,0.0002416854,0.0003653392,0.00002439726,0.0006120625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01005094,"threshold_uncertainty_score":0.6349388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03061519318359427,"score_gpt":0.4080269110230662,"score_spread":0.3774117178394719,"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."}}