{"id":"W2898760538","doi":"10.3747/co.25.3914","title":"Afatinib in Advanced Pretreated Non-Small-Cell Lung Cancer—A Canadian Experience","year":2018,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Calgary; BC Cancer Foundation; BC Cancer Agency; Princess Margaret Cancer Centre; London Health Sciences Centre; Spinal Cord Injury BC; University of Toronto; University Health Network","funders":"National Cancer Institute; Princess Margaret Cancer Foundation","keywords":"Afatinib; Medicine; Internal medicine; Lung cancer; Population; Oncology; Chemotherapy; Erlotinib; Cancer; Surgery; Epidermal growth factor receptor","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0005331618,0.0003679356,0.0004020902,0.0002812194,0.001854917,0.0008372675,0.0005408342,0.0005501413,0.00113661],"category_scores_gemma":[0.0009210413,0.0001187629,0.0003452586,0.001672819,0.0005860123,0.0003069332,0.0004836727,0.0007275267,0.0002335622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01116943,"about_ca_system_score_gemma":0.01585787,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7145706,"about_ca_topic_score_gemma":0.8077048,"domain_scores_codex":[0.999564,0.00005518936,0.00002229905,0.00004802605,0.0001826674,0.0001278101],"domain_scores_gemma":[0.9992598,0.00003663464,0.00005838955,0.0000232741,0.0002279371,0.0003940135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006812556,0.002091944,0.4975048,0.001217651,0.0004053561,0.0293303,0.005640791,0.002091235,0.0144249,0.002544478,0.03761513,0.4003209],"study_design_scores_gemma":[0.002446307,0.005057124,0.7544999,0.0004552579,0.0004204703,0.03680818,0.004242435,0.001413663,0.002501827,0.0005045505,0.1915036,0.0001465656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949302,0.02472659,0.0003987854,0.004677893,0.0002139609,0.0003068156,0.0007790602,0.0000268995,0.01956795],"genre_scores_gemma":[0.9769832,0.01829796,0.0004778557,0.001009558,0.0001324142,0.00003993335,0.000868986,0.00001552451,0.002174628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2854294,"threshold_uncertainty_score":0.5742206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04728530826475368,"score_gpt":0.4454980535169287,"score_spread":0.398212745252175,"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."}}