{"id":"W2083698498","doi":"10.1118/1.3266821","title":"Monte Carlo based, patient‐specific RapidArc QA using Linac log files","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; Varian Medical Systems","keywords":"Monte Carlo method; Imaging phantom; Linear particle accelerator; Ionization chamber; Monitor unit; Nuclear medicine; Radiation treatment planning; Computer science; Medical physics; Beam (structure); Physics; Mathematics; Medicine; Statistics; Ionization; Optics; Radiation therapy","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":[0.0008720011,0.0004792625,0.000337702,0.0003851769,0.0003852959,0.0005416989,0.0006406225,0.0002774958,0.005865617],"category_scores_gemma":[0.002732185,0.0004712435,0.0003121789,0.0003984912,0.0002457853,0.0003533144,0.0003371859,0.0004903266,0.000872255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231962,"about_ca_system_score_gemma":0.001063834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003848162,"about_ca_topic_score_gemma":0.003961365,"domain_scores_codex":[0.9996099,0.0001094537,0.00002197799,0.00006215875,0.0001757124,0.00002085885],"domain_scores_gemma":[0.9988858,0.0005792475,0.0001107563,0.000161384,0.0002491653,0.00001370978],"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":[0.001047672,0.0001725104,0.00641631,0.0002562529,0.00008747323,0.0001299408,0.0002565559,0.8524655,0.04137928,0.00291836,0.003799923,0.0910702],"study_design_scores_gemma":[0.0002351631,0.0004399318,0.007250562,0.00004590339,0.0000618106,0.0003447469,0.00004401156,0.8903512,0.09012304,0.001525533,0.009482231,0.00009582547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2525705,0.0003850038,0.7176768,0.000225005,0.00003168439,0.0007186955,0.001573958,0.01211055,0.01470778],"genre_scores_gemma":[0.7968574,0.0001394997,0.1963043,0.000110731,0.000009951131,0.0005029729,0.001183264,0.001439997,0.003451847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005865617,"threshold_uncertainty_score":0.01962239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422117816161729,"score_gpt":0.2753855917164624,"score_spread":0.2611644135548452,"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."}}