{"id":"W3031120637","doi":"10.3747/co.27.6007","title":"Canadian Consensus: A New Systemic Treatment Algorithm for Advanced EGFR-Mutated Non-Small-Cell Lung Cancer","year":2020,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"William Osler Health System; University of Toronto; Juravinski Cancer Centre; Centre Hospitalier de l’Université de Montréal; Princess Margaret Cancer Centre; BC Cancer Agency; University of Manitoba; BC Cancer Foundation; McMaster University; Spinal Cord Injury BC; CancerCare Manitoba","funders":"Pfizer Canada; Takeda Canada; AstraZeneca Canada; Merck Canada; F. Hoffmann-La Roche; AstraZeneca; Pfizer","keywords":"Osimertinib; Medicine; Lung cancer; Oncology; Clinical trial; Internal medicine; Erlotinib; Targeted therapy; Chemotherapy; Metastasis; T790M; Cancer; Gefitinib; 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":[0.04393037,0.001666924,0.002527087,0.0055212,0.006586514,0.005944661,0.01067076,0.012265,0.00578613],"category_scores_gemma":[0.04472236,0.0009996874,0.005034931,0.005715082,0.004042934,0.003647784,0.006261639,0.01431028,0.003614464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07086682,"about_ca_system_score_gemma":0.3038803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.597757,"about_ca_topic_score_gemma":0.7531679,"domain_scores_codex":[0.9705056,0.007509684,0.004774545,0.001526808,0.01293713,0.002746138],"domain_scores_gemma":[0.9181791,0.0043256,0.003036508,0.001100746,0.06293467,0.0104234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007416408,0.00004856115,0.001700736,0.001840186,0.00009831949,0.0002746583,0.0005658025,0.001017332,0.0004765508,0.009040279,0.8857102,0.09915323],"study_design_scores_gemma":[0.0001885624,0.00006520911,0.004191734,0.005271703,0.0001859484,0.0003279294,0.0006160398,0.0008195644,0.0002631988,0.007298272,0.980628,0.00014388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002031803,0.05929092,0.02120526,0.8349504,0.02077221,0.003567826,0.004556372,0.0006720435,0.05295325],"genre_scores_gemma":[0.05778727,0.08656643,0.3669406,0.4008181,0.009216893,0.005749392,0.02299584,0.0007576163,0.04916792],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.402243,"threshold_uncertainty_score":0.8092237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06089968419133619,"score_gpt":0.4153526833248746,"score_spread":0.3544529991335384,"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."}}