{"id":"W2769658312","doi":"10.21037/tlcr.2017.10.14","title":"The rapidly evolving treatment landscape for patients with brain metastases from epidermal growth factor receptor mutated non-small cell lung cancer","year":2017,"lang":"en","type":"letter","venue":"Translational Lung Cancer Research","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Regional Municipality of Ottawa","funders":"","keywords":"Epidermal growth factor receptor; Medicine; Lung cancer; Lung; Cancer; Cell; Cancer research; Receptor; Epidermal growth factor; Bioinformatics; Oncology; Pathology; Internal medicine; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003136881,0.0006726881,0.000820503,0.0003155398,0.001608223,0.000335717,0.0004588009,0.0004180973,0.00131836],"category_scores_gemma":[0.00008535691,0.0004124892,0.000375598,0.0002548374,0.0002659381,0.000250084,0.00003380872,0.001129866,0.00001205698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00133616,"about_ca_system_score_gemma":0.003891615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008082328,"about_ca_topic_score_gemma":0.001876595,"domain_scores_codex":[0.9953697,0.0002962403,0.0005645939,0.001061062,0.001550227,0.001158232],"domain_scores_gemma":[0.9942111,0.002773343,0.0003366871,0.0007151843,0.00170596,0.0002577229],"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":[0.002161254,0.0003891958,0.119588,0.001136798,0.005889111,0.00007687981,0.001681401,0.00007557937,0.0001053967,0.000009851506,0.8629168,0.005969751],"study_design_scores_gemma":[0.03635678,0.002133052,0.1157063,0.00303923,0.006070981,0.00000390942,0.0001219021,0.003821816,0.001382389,0.000119171,0.8297254,0.001519076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08797709,0.05381127,0.0007922503,0.7696761,0.0015782,0.01915392,0.06501293,0.0001708058,0.001827459],"genre_scores_gemma":[0.4940966,0.01756847,0.01282498,0.07089215,0.0379416,0.07992846,0.1684128,0.002626758,0.1157081],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6987839,"threshold_uncertainty_score":0.9998327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0379390279010288,"score_gpt":0.379747758848595,"score_spread":0.3418087309475662,"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."}}