{"id":"W2033311312","doi":"10.1088/0031-9155/55/17/006","title":"Determination of average LET of therapeutic proton beams using Al<sub>2</sub>O<sub>3</sub>:C optically stimulated luminescence (OSL) detectors","year":2010,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôtel-Dieu de Québec; Centre hospitalier universitaire de Québec; Carleton University","funders":"","keywords":"Sobp; Proton therapy; Scattering; Bragg peak; Monte Carlo method; Physics; Proton; Calibration curve; Calibration; Optics; Optically stimulated luminescence; Fluence; Percentage depth dose curve; Energy (signal processing); Luminescence; Atomic physics; Computational physics; Beam (structure); Nuclear physics; Ionization chamber; Mathematics; Statistics; Laser","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002351522,0.0002163244,0.0004801034,0.0001079346,0.00004227411,0.000003492064,0.0001485697,0.0001083141,0.000007101141],"category_scores_gemma":[0.0000245789,0.0001728344,0.0000529801,0.0002512523,0.0005369881,0.00009726829,0.00004235563,0.0003339044,1.952448e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001737969,"about_ca_system_score_gemma":0.00004014319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004450416,"about_ca_topic_score_gemma":0.000004034988,"domain_scores_codex":[0.9988602,0.00007323667,0.0004232762,0.000297034,0.0001023929,0.0002438495],"domain_scores_gemma":[0.999099,0.0001869761,0.0002941342,0.0002392006,0.0001320453,0.00004869635],"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":[0.00004047329,0.00009669412,0.01868782,0.00003861839,0.0000244952,6.915068e-7,0.0001926747,0.0000359371,0.8555619,0.0009998399,7.884972e-7,0.1243201],"study_design_scores_gemma":[0.0007784438,0.0004287754,0.001584993,0.0001151004,0.00003001279,0.000002270856,0.0000303771,0.01085065,0.976513,0.009456824,0.00003528149,0.0001742605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.814915,0.00004532374,0.1843794,0.00004653009,0.00008229636,0.0004735352,0.000008437221,0.00001969371,0.00002974887],"genre_scores_gemma":[0.994725,0.00007017344,0.004853041,0.00007567024,0.0001919583,0.00003672798,0.00002394397,0.00002316742,3.49924e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.17981,"threshold_uncertainty_score":0.7047983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05278723617178074,"score_gpt":0.3547097046621602,"score_spread":0.3019224684903795,"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."}}