{"id":"W3167314080","doi":"10.48550/arxiv.2106.08218","title":"Accurate Dose Measurements Using Cherenkov Polarization Imaging","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Cherenkov radiation; Physics; Polarizer; Optics; Monte Carlo method; Polarization (electrochemistry); Anisotropy; Azimuth; Cherenkov detector; Isocenter; Beam (structure); Detector","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":[0.000556811,0.0006197536,0.000395325,0.000622906,0.0002807967,0.0009770679,0.0005620447,0.0004604288,0.001689918],"category_scores_gemma":[0.001394102,0.000338936,0.0002539975,0.0005856036,0.0005417725,0.001084473,0.001413047,0.0008870913,0.0006712334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009097899,"about_ca_system_score_gemma":0.0007069966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008369285,"about_ca_topic_score_gemma":0.0007572853,"domain_scores_codex":[0.9993104,0.00009347262,0.00002175158,0.0001142912,0.000417101,0.00004299422],"domain_scores_gemma":[0.9993636,0.0001551882,0.0001465984,0.00009517022,0.0002157797,0.00002359349],"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":[0.0002611998,0.00002973093,0.004767659,0.0001300819,0.00002865477,0.00006470786,0.0001029938,0.005894314,0.9352441,0.001253645,0.0003358764,0.05188696],"study_design_scores_gemma":[0.000014304,0.00009990056,0.00443563,0.00001321894,0.00002458327,0.0001889979,0.00003935392,0.01593219,0.9768173,0.0005142943,0.001894402,0.0000258623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4122867,0.001249216,0.5770953,0.000258258,0.00005704599,0.0001163354,0.000485301,0.001797662,0.006654206],"genre_scores_gemma":[0.8285882,0.000915789,0.1675902,0.00008262153,0.00002169241,0.00009153214,0.0003779522,0.0003661516,0.001965861],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001689918,"threshold_uncertainty_score":0.006601036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1284617892991339,"score_gpt":0.2194623182713111,"score_spread":0.0910005289721772,"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."}}