{"id":"W1992170556","doi":"10.1118/1.2219778","title":"Efficient photon beam dose calculations using DOSXYZnrc with BEAMnrc","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Photon; Collimated light; Collimator; Chemistry; Optics; Physics; Laser","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":[0.0013438,0.0006543682,0.0008050128,0.0006945298,0.0003299608,0.0007245823,0.001150644,0.0006261157,0.003866488],"category_scores_gemma":[0.003073902,0.0005338009,0.0006609436,0.00102243,0.0002726943,0.0006969307,0.0006520296,0.0004743313,0.0008529067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001422167,"about_ca_system_score_gemma":0.00151893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005461693,"about_ca_topic_score_gemma":0.005336058,"domain_scores_codex":[0.9992504,0.0001774113,0.00004750987,0.00005084985,0.0004314742,0.00004237415],"domain_scores_gemma":[0.9986951,0.0006097588,0.0001267987,0.0001856459,0.0003575464,0.00002525843],"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":[0.0004651072,0.0001308277,0.008590521,0.0004877741,0.0001463061,0.0002091167,0.0003766503,0.9051772,0.02580793,0.009120085,0.00284804,0.04664043],"study_design_scores_gemma":[0.00007469088,0.00008716241,0.002018904,0.00003947643,0.00004594538,0.0001227429,0.00005508353,0.9464659,0.04297103,0.001046197,0.007035042,0.00003785695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4649598,0.0009854391,0.4835021,0.0004390757,0.00008969526,0.0003271656,0.002300943,0.01461881,0.03277694],"genre_scores_gemma":[0.7634146,0.0006176535,0.2233313,0.0001907802,0.00001403483,0.0004152634,0.002042214,0.003960204,0.006013964],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005461693,"threshold_uncertainty_score":0.01293468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009129155032433084,"score_gpt":0.2748415391367952,"score_spread":0.265712384104362,"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."}}