{"id":"W3217643334","doi":"10.1017/s1460396921000662","title":"Investigation of field output factors using IAEA-AAPM TRS-483 code of practice recommendations and Monte Carlo simulation for 6 MV photon beams","year":2021,"lang":"en","type":"article","venue":"Journal of Radiotherapy in Practice","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Monte Carlo method; Detector; Field (mathematics); Code of practice; Dosimetry; Physics; Computational physics; Photon; Field size; Optics; Nuclear medicine; Mathematics; Statistics; Beam (structure); Engineering; 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":[0.004236583,0.0006011623,0.0004013253,0.001254525,0.0003967005,0.0006209465,0.0009793917,0.0005913115,0.002782332],"category_scores_gemma":[0.01107217,0.0003537322,0.000430168,0.001223782,0.0003895946,0.0005167949,0.0004262836,0.000343352,0.0007988696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199178,"about_ca_system_score_gemma":0.001194896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004038481,"about_ca_topic_score_gemma":0.004306737,"domain_scores_codex":[0.9967098,0.0008655324,0.0001511009,0.0002281034,0.001949005,0.00009638788],"domain_scores_gemma":[0.9918002,0.003209227,0.0007894005,0.0009980295,0.003121285,0.00008174429],"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":[0.001369461,0.0003206102,0.0877122,0.001444532,0.0001941551,0.0004620627,0.001081605,0.5057389,0.1227259,0.008890351,0.01129729,0.258763],"study_design_scores_gemma":[0.0001102291,0.0007814456,0.0483196,0.0001795182,0.00009325529,0.0008674751,0.00019613,0.669233,0.2519756,0.003052759,0.02501339,0.0001775483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.442369,0.0009148386,0.5263994,0.0003278582,0.00008596843,0.0004949591,0.002391623,0.007202697,0.01981367],"genre_scores_gemma":[0.7662258,0.0002785359,0.2288771,0.00004495143,0.000009229871,0.0003238465,0.00118809,0.001118729,0.00193372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004236583,"threshold_uncertainty_score":0.02240545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04033699582367326,"score_gpt":0.3772621832663883,"score_spread":0.336925187442715,"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."}}