{"id":"W2891788554","doi":"10.1200/jop.18.00054","title":"CNS Metastases in Epidermal Growth Factor Receptor Mutation–Positive Non–Small-Cell Lung Cancer: Impact on Health Resource Utilization","year":2018,"lang":"en","type":"article","venue":"Journal of Oncology Practice","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spinal Cord Injury BC","funders":"BC Cancer Foundation; International Association for the Study of Lung Cancer; AstraZeneca Canada; AstraZeneca; Eli Lilly and Company","keywords":"Medicine; Radiosurgery; Internal medicine; Oncology; Disease; Epidermal growth factor receptor; Retrospective cohort study; Lung cancer; Cancer; Radiation therapy; Lung","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":[0.001639222,0.0002188526,0.0006857063,0.0003641406,0.0001370465,0.00002319446,0.00009291942,0.0001219732,0.0003622197],"category_scores_gemma":[0.001523819,0.0001568035,0.0001794505,0.0003695568,0.00008613327,0.0003902472,0.00002523665,0.0005859599,0.00002146834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689969,"about_ca_system_score_gemma":0.001908182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000681075,"about_ca_topic_score_gemma":0.0001251017,"domain_scores_codex":[0.9970776,0.00122901,0.0007700876,0.0002298409,0.0003453935,0.000348032],"domain_scores_gemma":[0.995145,0.002071553,0.001624856,0.0001553274,0.0006922221,0.0003110997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.07689659,0.03103371,0.08494503,0.0008671192,0.008910236,0.01071767,0.03191194,0.001917521,0.004046054,0.0007377431,0.2286324,0.519384],"study_design_scores_gemma":[0.05748823,0.1565636,0.405268,0.00227133,0.006259233,0.01356186,0.0150356,0.00258558,0.03160777,0.0001500771,0.3080969,0.001111796],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9242485,0.003339146,0.002495253,0.0637973,0.0006642646,0.001130121,0.0001751432,0.00001840866,0.004131836],"genre_scores_gemma":[0.9775136,0.001319114,0.01236242,0.007875898,0.0007032692,0.00001496777,0.00004741651,0.00003393102,0.0001293518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5182722,"threshold_uncertainty_score":0.6394261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05306113147214765,"score_gpt":0.4245714381803695,"score_spread":0.3715103067082218,"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."}}