{"id":"W2758562219","doi":"10.1016/j.ijrobp.2017.06.1735","title":"Risk-Adapted Lung SBRT for Central and Ultra-Central Tumors","year":2017,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Common Terminology Criteria for Adverse Events; Lung; Lung cancer; Adenocarcinoma; Esophagus; Stage (stratigraphy); Radiology; Cancer; Oncology; Radiation therapy; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003304862,0.0004587574,0.000384409,0.0002779554,0.0001835532,0.0005955007,0.0008791094,0.0002854799,0.003096792],"category_scores_gemma":[0.001056829,0.0002343967,0.000906308,0.0001922522,0.0001523296,0.0003191421,0.001125105,0.0004900944,0.0005166302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005149142,"about_ca_system_score_gemma":0.0006261721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002219649,"about_ca_topic_score_gemma":0.003449628,"domain_scores_codex":[0.9997841,0.00003834287,0.00001270793,0.00004328406,0.00007495108,0.00004657806],"domain_scores_gemma":[0.9998579,0.00003931439,0.00002543458,0.00002431875,0.00002601756,0.00002711222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002244405,0.0006763816,0.03386223,0.0004899962,0.0004732301,0.001015218,0.0004411566,0.5571105,0.06069147,0.007355675,0.006640987,0.3289987],"study_design_scores_gemma":[0.0003375632,0.002189927,0.0710203,0.00009423263,0.0007016589,0.005725023,0.0003518104,0.8622323,0.02065852,0.0219641,0.01456391,0.0001607156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5345179,0.003303981,0.4367169,0.0008723109,0.0002295868,0.0002894304,0.0006878799,0.002138549,0.02124357],"genre_scores_gemma":[0.9659016,0.0002409278,0.03058815,0.0001443356,0.00002938801,0.00005129228,0.0002464936,0.0004349739,0.00236286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003096792,"threshold_uncertainty_score":0.01035976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01832626488905884,"score_gpt":0.3426576910107265,"score_spread":0.3243314261216677,"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."}}