{"id":"W3036080924","doi":"10.1016/j.ejmp.2020.06.006","title":"Large-scale dosimetric assessment of Monte Carlo recalculated doses for lung robotic stereotactic body radiation therapy.","year":2020,"lang":"en","type":"article","venue":"Physica Medica","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; McGill University; McGill University Health Centre","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nuclear medicine; Monte Carlo method; Cyberknife; Medicine; Radiation treatment planning; Effective dose (radiation); Lung; Radiation therapy; Radiosurgery; Mathematics; Internal medicine; Statistics","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":[0.0001169852,0.0002040472,0.0004290903,0.00007391526,0.00008359045,0.0000191173,0.0002180096,0.00004338881,0.0001293898],"category_scores_gemma":[0.00001636614,0.0001802107,0.0001907328,0.0004736532,0.00004511252,0.0001894272,0.00002894851,0.0001786207,7.198236e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005078173,"about_ca_system_score_gemma":0.00008304763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002721774,"about_ca_topic_score_gemma":1.881246e-7,"domain_scores_codex":[0.9986916,0.00007063591,0.000331031,0.0003230944,0.0002954161,0.0002882259],"domain_scores_gemma":[0.9990179,0.0001936971,0.0002981531,0.0002654182,0.00008614158,0.0001387138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001017865,0.007110387,0.2376596,0.0010484,0.006976949,0.000009859807,0.01831925,0.008260129,0.3104595,0.01605338,0.04174875,0.3513359],"study_design_scores_gemma":[0.006919994,0.001365218,0.02315724,0.0001329585,0.0003432302,5.512897e-7,0.0002571253,0.8808452,0.05701556,0.0009075219,0.02815004,0.0009053032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1522035,0.0009897872,0.8414611,0.001884223,0.0002179375,0.001962731,0.000128201,0.0002649256,0.0008876808],"genre_scores_gemma":[0.9919064,0.00009015437,0.007016459,0.0001979584,0.0004780782,0.0001671766,0.00005561605,0.00004812763,0.00004005237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8725851,"threshold_uncertainty_score":0.734878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386528475134464,"score_gpt":0.3152387883065576,"score_spread":0.301373503555213,"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."}}