{"id":"W4225156802","doi":"10.1088/1361-6560/ac6b79","title":"External beam irradiation angle measurement using a hybrid Cerenkov-scintillation detector","year":2022,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôtel-Dieu de Québec; Héma-Québec; Université Laval; Quebec - Clinical Research Organization in Cancer; Centre hospitalier de l'Université Laval; Centre intégré universitaire de santé et de services sociaux de la Mauricie-et-du-Centre-du-Québec","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optics; Physics; Scintillation; Calibration; Detector; Beam (structure); Irradiation; Cherenkov radiation; Aperture (computer memory); Attenuation length; Energy (signal processing); Scintillation counter; Photon; Nuclear physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007514692,0.0007174439,0.0006558711,0.0009111272,0.0002191552,0.001019824,0.000752796,0.0007462662,0.001524254],"category_scores_gemma":[0.0007527077,0.0004674494,0.0004130492,0.001044288,0.0002442347,0.0007433079,0.001204429,0.0005169171,0.0008002231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005404949,"about_ca_system_score_gemma":0.0004451704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004770297,"about_ca_topic_score_gemma":0.001090606,"domain_scores_codex":[0.998606,0.0001684721,0.00006077982,0.0003431986,0.0007462181,0.00007532023],"domain_scores_gemma":[0.9992206,0.0001732323,0.0002249012,0.000135999,0.0002077022,0.00003748835],"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":[0.0002841102,0.00005521971,0.004859619,0.0001328825,0.00006154637,0.00003766389,0.00003714123,0.001230707,0.9646198,0.0003900392,0.0001260016,0.02816532],"study_design_scores_gemma":[0.00002799959,0.0004237,0.01260003,0.00002685785,0.0000801111,0.0003727053,0.00003484146,0.02097138,0.9603007,0.000135727,0.004963858,0.00006203324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5265339,0.002450569,0.4631356,0.00007796239,0.0001398407,0.0001129968,0.0005590949,0.00132354,0.005666511],"genre_scores_gemma":[0.7695251,0.0009230121,0.2248893,0.0001061221,0.00006255907,0.0001098522,0.0006085885,0.0002144669,0.003561032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001524254,"threshold_uncertainty_score":0.005099118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1587821642933508,"score_gpt":0.3726484529360243,"score_spread":0.2138662886426735,"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."}}