{"id":"W2972209590","doi":"10.1088/1361-6501/ab404e","title":"Instrumentation for high-dose, high-resolution dosimetry for microbeam radiation therapy using samarium-doped fluoroaluminate and fluorophosphate glass plates","year":2019,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Royal Society; Canadian Light Source","keywords":"Materials science; Dosimetry; Samarium; Doping; Optics; Irradiation; Microscope; Radiation; Microbeam; Analytical Chemistry (journal); Calibration; Dose profile; Nuclear medicine; Optoelectronics; Chemistry; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008487607,0.0001718703,0.000218547,0.0003269703,0.0003519903,0.0000728637,0.0001698306,0.00008090436,0.000009137753],"category_scores_gemma":[0.00002847166,0.0001587544,0.00002270817,0.0004650579,0.000301486,0.0004582424,0.00003950958,0.00007618784,4.659944e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002172908,"about_ca_system_score_gemma":0.0001139565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001060714,"about_ca_topic_score_gemma":0.000001818667,"domain_scores_codex":[0.9986889,0.00001364692,0.000214519,0.0004574115,0.0002865482,0.0003389646],"domain_scores_gemma":[0.9992045,0.00002866934,0.0001811443,0.0001912946,0.0003560351,0.00003837702],"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":[0.00005931629,0.00003560345,0.009187168,0.00001334753,0.0000239293,3.378963e-8,0.00003256341,0.00001956123,0.7591379,0.01144646,0.00002017359,0.220024],"study_design_scores_gemma":[0.002290961,0.0004451249,0.002565913,0.00002595783,0.00001781947,0.000001036129,0.00009000154,0.006434113,0.9767225,0.01011535,0.001081609,0.0002096604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8795431,0.0006194591,0.1177253,0.0002869972,0.0001963664,0.001507865,0.00002001599,0.00009134592,0.000009631211],"genre_scores_gemma":[0.9552847,0.00008199054,0.04433926,0.0000428731,0.00004339321,0.0001648849,0.00001306557,0.00001797205,0.00001182186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2198143,"threshold_uncertainty_score":0.6473816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153998964812856,"score_gpt":0.263073108007663,"score_spread":0.2476732115263774,"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."}}