{"id":"W1988636686","doi":"10.1088/0031-9155/58/9/2807","title":"Monte Carlo calculation of VMAT and helical tomotherapy dose distributions for lung stereotactic treatments with intra-fraction motion","year":2013,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Carleton University","funders":"","keywords":"Tomotherapy; Monte Carlo method; Fraction (chemistry); Computer science; Position (finance); Grid; Nuclear medicine; Mathematics; Geometry; Radiation therapy; Medicine; Radiology; Statistics; Chemistry","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":[0.0005111129,0.0002216261,0.0002869361,0.0005178921,0.0002809678,0.0004050058,0.0004658372,0.0004628439,0.001303738],"category_scores_gemma":[0.002313871,0.0003001181,0.0003734969,0.0006485104,0.0002557308,0.0002681582,0.0002426792,0.0002892202,0.0003376763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264277,"about_ca_system_score_gemma":0.0006942191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005392997,"about_ca_topic_score_gemma":0.005144092,"domain_scores_codex":[0.9996841,0.00009170063,0.00001727344,0.00002577749,0.0001608177,0.00002035658],"domain_scores_gemma":[0.9993642,0.0003567764,0.00008046359,0.00006557041,0.0001094309,0.00002358413],"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":[0.00008537768,0.00002402545,0.001700425,0.00004003327,0.00002731652,0.00004932072,0.00006489959,0.9761213,0.00687107,0.002753956,0.0003845669,0.01187775],"study_design_scores_gemma":[0.00001402226,0.00002888685,0.001629087,0.000006124832,0.000009506712,0.00006805674,0.00001287784,0.9887432,0.007289206,0.0009985917,0.001186095,0.0000142671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2649375,0.0005352664,0.7200792,0.0001641266,0.00004703861,0.0001709047,0.0004445793,0.001518465,0.01210299],"genre_scores_gemma":[0.8954707,0.0001350879,0.1015167,0.00005998178,0.000008713745,0.0001259597,0.0002898844,0.0004613214,0.001931455],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005392997,"threshold_uncertainty_score":0.01072323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0549633243834548,"score_gpt":0.3773420473191271,"score_spread":0.3223787229356723,"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."}}