{"id":"W3016735578","doi":"10.1002/mp.14185","title":"Measurement of surface dose in an MR‐Linac with optically stimulated luminescence dosimeters for IMRT beam geometries","year":2020,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Canada Research Chairs; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Dosimeter; Imaging phantom; Linear particle accelerator; Nuclear medicine; Optically stimulated luminescence; Dosimetry; Materials science; Radiation treatment planning; Monte Carlo method; Medical physics; Radiation therapy; Beam (structure); Dose profile; Biomedical engineering; Optics; Physics; Medicine; Radiology; Mathematics","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":[0.000822547,0.0005862349,0.0002793648,0.0005727136,0.0002366616,0.0005928953,0.0005173055,0.0004661377,0.001028418],"category_scores_gemma":[0.001990777,0.0003809284,0.0004455876,0.0003785621,0.0004226592,0.0003075278,0.0006565217,0.0003829673,0.0004215126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007493286,"about_ca_system_score_gemma":0.0005131789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000868748,"about_ca_topic_score_gemma":0.0008047409,"domain_scores_codex":[0.9989566,0.0002711682,0.00003603311,0.0001748758,0.0005135186,0.00004777985],"domain_scores_gemma":[0.999073,0.0002517453,0.0003297165,0.0001646189,0.000138289,0.00004266822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000736989,0.00008127886,0.02800553,0.0003075979,0.00009738879,0.0001097539,0.0004989821,0.02323737,0.9115407,0.0005108787,0.0002660615,0.03460753],"study_design_scores_gemma":[0.00009894473,0.002163699,0.08845648,0.00004256639,0.0002345523,0.001358191,0.0001861557,0.03054906,0.8682519,0.000278182,0.008290236,0.00009000528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8826563,0.0007244317,0.1123157,0.0001396828,0.0000217886,0.0001305681,0.0002219501,0.00114221,0.002647241],"genre_scores_gemma":[0.9468237,0.0001771274,0.0515171,0.00007572039,0.000006563106,0.00007118327,0.0002520804,0.000177264,0.0008993901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001028418,"threshold_uncertainty_score":0.005436838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02440166855023795,"score_gpt":0.2889436287727998,"score_spread":0.2645419602225618,"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."}}