{"id":"W2117198812","doi":"10.1118/1.2841940","title":"Radiotherapy dosimetry using a commercial OSL system","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Ottawa Regional Cancer Foundation; Ottawa Hospital","funders":"International Atomic Energy Agency","keywords":"Optically stimulated luminescence; Dosimetry; Dosimeter; Ionization chamber; Materials science; Radiation; Dose profile; Optics; Radiation therapy; Detector; Particle detector; Nuclear medicine; Ionization; Physics; Medicine; Radiology","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":[0.00008085816,0.0001118502,0.0001971995,0.00003631091,0.0002207895,0.00001451205,0.0001708537,0.00007375736,0.0003189831],"category_scores_gemma":[0.000009079655,0.00009821887,0.0001024489,0.0002685982,0.0001477532,0.00007007954,0.00002615369,0.0002270388,0.00004120531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005295699,"about_ca_system_score_gemma":0.00007488921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007606482,"about_ca_topic_score_gemma":2.855831e-7,"domain_scores_codex":[0.9991003,0.00003037356,0.0001800774,0.0001549536,0.0003536892,0.0001805837],"domain_scores_gemma":[0.9995617,0.0000388646,0.00007120886,0.0001963463,0.00002516053,0.0001066808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005039688,0.0005631783,0.384477,0.00006471714,0.0004448578,0.0000508608,0.001080327,0.001267008,0.001232395,0.03596997,0.01808514,0.5567141],"study_design_scores_gemma":[0.01533075,0.000609782,0.06945119,0.0005305248,0.000230644,0.0002827437,0.003068611,0.6091301,0.1934041,0.008558475,0.09509718,0.004305843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8938428,0.00005071648,0.10334,0.0002225423,0.0004449022,0.00009130802,0.000005929602,0.0002562362,0.001745556],"genre_scores_gemma":[0.9985282,0.000004186377,0.0002351789,0.0001360743,0.001007712,0.000005472872,0.000001577446,0.0000145288,0.00006709751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6078631,"threshold_uncertainty_score":0.4005249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02477783696964066,"score_gpt":0.2698737704044435,"score_spread":0.2450959334348029,"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."}}