{"id":"W2908581327","doi":"10.1016/j.radonc.2018.12.015","title":"Modeling radiation pneumonitis of pulmonary stereotactic body radiotherapy: The impact of a local dose–effect relationship for lung perfusion loss","year":2019,"lang":"en","type":"article","venue":"Radiotherapy and Oncology","topic":"Effects of Radiation Exposure","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"KWF Kankerbestrijding","keywords":"Akaike information criterion; Radiation Pneumonitis; Nuclear medicine; Medicine; Perfusion; Pneumonitis; Radiation therapy; Lung; Radiology; Internal medicine; Mathematics; Statistics","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":[0.0006280572,0.001036337,0.0009010436,0.0005548317,0.0003216404,0.001186057,0.001779723,0.002544394,0.002264109],"category_scores_gemma":[0.002463012,0.0007715755,0.001330849,0.0005498902,0.0006864115,0.0007399727,0.0005270417,0.0008716169,0.00033614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001760766,"about_ca_system_score_gemma":0.001413283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03309381,"about_ca_topic_score_gemma":0.0164305,"domain_scores_codex":[0.9996506,0.0001373383,0.00001671269,0.00006246877,0.00007290243,0.00006003548],"domain_scores_gemma":[0.9988681,0.0007455467,0.0001779872,0.00004505884,0.0001059249,0.00005727794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002935603,0.00003470461,0.0006923467,0.00003644745,0.00001769881,0.00006594382,0.00001586208,0.9961923,0.001271733,0.000548064,0.0001047749,0.0009906396],"study_design_scores_gemma":[0.00001473269,0.00003104854,0.0006613773,0.000006942788,0.00002340897,0.00004435228,0.00001052157,0.9980417,0.0006057433,0.0002609225,0.0002909558,0.000008178871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7392555,0.005766146,0.2120599,0.001971555,0.0002657871,0.0004603927,0.001503602,0.0006650031,0.03805208],"genre_scores_gemma":[0.9854956,0.0006382147,0.004985052,0.0001566584,0.00003292708,0.00009711127,0.0001502704,0.0001369914,0.008307208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03309381,"threshold_uncertainty_score":0.06580234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109953848866545,"score_gpt":0.3280861708816931,"score_spread":0.3169866323930277,"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."}}