{"id":"W3217713105","doi":"","title":"External beam irradiation angle measurement using Cerenkov emission II: Detector characterization and applications","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Optics; Dosimeter; Physics; Beam (structure); Cherenkov radiation; Calibration; Detector; Irradiation; Imaging phantom; Aperture (computer memory); Optical fiber; Numerical aperture; SIGNAL (programming language); Materials science; Radiation; Wavelength; Nuclear physics","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":[0.0009594969,0.0006992695,0.0004684361,0.00076015,0.0002571511,0.0006879016,0.0006750054,0.000736251,0.001061643],"category_scores_gemma":[0.001342895,0.0003272824,0.0003340836,0.0009836293,0.0003231985,0.0005776773,0.0008234614,0.0006047967,0.0004287697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006076008,"about_ca_system_score_gemma":0.0004818513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008883346,"about_ca_topic_score_gemma":0.00120673,"domain_scores_codex":[0.9989393,0.0001469905,0.00005043554,0.0002636217,0.0005182164,0.00008126315],"domain_scores_gemma":[0.9991142,0.0001789278,0.0002738378,0.0001441841,0.0002480616,0.00004072048],"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":[0.0001947368,0.00003689024,0.004734347,0.0001266778,0.00002144805,0.00005343555,0.0000903055,0.0009385372,0.9664145,0.0004369878,0.0001175585,0.02683469],"study_design_scores_gemma":[0.000005081436,0.00009363701,0.00674832,0.00001078137,0.00001956646,0.0002111848,0.00003010751,0.006071417,0.9844195,0.00008151151,0.002287928,0.00002096869],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5512106,0.00459733,0.4375254,0.0001597153,0.0000861181,0.0001225218,0.0003999537,0.001036213,0.004862173],"genre_scores_gemma":[0.8103316,0.002114322,0.1844648,0.00009606126,0.00003547707,0.0001087106,0.0004885219,0.0002338456,0.00212667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001061643,"threshold_uncertainty_score":0.005074382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05141902290972399,"score_gpt":0.2074294400579461,"score_spread":0.1560104171482222,"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."}}