{"id":"W2029047222","doi":"10.1117/12.535988","title":"X-ray scatter in quantitative megavoltage computed tomography: implications for adaptive radiation therapy","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"Tomotherapy; Imaging phantom; Image-guided radiation therapy; Monte Carlo method; Radiation therapy; Tomography; Nuclear medicine; Cone beam computed tomography; Medical physics; Computed tomography; Optics; Medicine; Physics; Radiology; Mathematics; Statistics","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":[0.003132234,0.0007393774,0.0003726592,0.000432395,0.000243444,0.001081468,0.000803154,0.0008505916,0.0006877397],"category_scores_gemma":[0.01546484,0.0003420878,0.000354182,0.0006705064,0.001535095,0.00104788,0.000609895,0.0009196444,0.0001579993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007593778,"about_ca_system_score_gemma":0.0005137422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001738508,"about_ca_topic_score_gemma":0.001288194,"domain_scores_codex":[0.9987963,0.0007217331,0.00004239612,0.00008913926,0.0003152747,0.00003503981],"domain_scores_gemma":[0.9899125,0.008336681,0.0006459096,0.000539024,0.0004407169,0.0001252345],"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":[0.0008045114,0.0002338312,0.03251262,0.0003346884,0.00008452877,0.0004917206,0.0005306946,0.7795738,0.07823849,0.02762524,0.000825638,0.07874423],"study_design_scores_gemma":[0.00004493641,0.0004332196,0.01565969,0.000102191,0.0000559543,0.0007386021,0.0001072702,0.9134182,0.04570209,0.02077337,0.002883769,0.00008078748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3276556,0.009410933,0.6521724,0.003647008,0.000220747,0.0001193617,0.00007354462,0.0007412381,0.005959166],"genre_scores_gemma":[0.9129497,0.002000726,0.08340925,0.0002374709,0.0001020919,0.0000453162,0.00003542127,0.0002040448,0.001015999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003132234,"threshold_uncertainty_score":0.01656508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405373156058826,"score_gpt":0.2666096539912771,"score_spread":0.2525559224306888,"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."}}