{"id":"W1425373418","doi":"10.1118/1.4923865","title":"SU-D-304-06: Measurement of LET in Patient-Specific Proton Therapy Treatment Fields Using Optically Stimulated Luminescence Detectors","year":2015,"lang":"en","type":"article","venue":"Medical Physics","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Sobp; Proton therapy; Monte Carlo method; Optically stimulated luminescence; Bragg peak; Optics; Dosimetry; Calibration curve; Physics; Proton; Linear energy transfer; Materials science; Luminescence; Nuclear medicine; Radiation; Beam (structure); Nuclear physics; Statistics; Mathematics; Medicine; Detection limit","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001614152,0.0001479681,0.0002415425,0.00004396634,0.00003212305,0.00001765556,0.0001319553,0.00008560582,0.00008683703],"category_scores_gemma":[0.00003680632,0.0001155312,0.00007418526,0.0002899661,0.00009821621,0.0000652899,0.00002560657,0.0001506846,0.000008529849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001290459,"about_ca_system_score_gemma":0.0001486749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001261045,"about_ca_topic_score_gemma":0.000003243227,"domain_scores_codex":[0.9986135,0.00004688889,0.0003240294,0.0002027012,0.00061963,0.0001932398],"domain_scores_gemma":[0.9993753,0.00002753637,0.0001091996,0.0002233336,0.0001426389,0.0001219323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002137462,0.002131314,0.1984057,0.00002571862,0.0001721428,0.00001516366,0.002018201,0.01286774,0.005541513,0.0005052435,0.0003242677,0.7777793],"study_design_scores_gemma":[0.01082286,0.002696957,0.007081426,0.0003096206,0.00003805222,0.000003218586,0.00135216,0.09252024,0.8684664,0.004732225,0.0108909,0.001085951],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930747,0.00007833019,0.005949466,0.0001108187,0.0001335441,0.0004445897,0.000003192825,0.00004748739,0.0001578352],"genre_scores_gemma":[0.9996763,0.00001181705,0.0001449299,0.0000161482,0.00009231569,0.00003925568,0.000002137178,0.00001088872,0.00000616783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8629249,"threshold_uncertainty_score":0.4711227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06760614025318402,"score_gpt":0.2825256883278303,"score_spread":0.2149195480746462,"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."}}