{"id":"W3011347570","doi":"10.1088/1361-6560/ab8148","title":"Alanine dosimetry in strong magnetic fields: use as a transfer standard in MRI-guided radiotherapy","year":2020,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Radiation Effects and Dosimetry","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Cancer Research UK","keywords":"Dosimetry; Dosimeter; Magnetic field; Nuclear magnetic resonance; Alanine; Irradiation; Magnetic resonance imaging; Ionizing radiation; Absorbed dose; Monte Carlo method; Materials science; Electron paramagnetic resonance; Physics; Nuclear medicine; Chemistry; Nuclear physics; Medicine; Mathematics; Radiology; Statistics","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":[0.001597681,0.0004779987,0.0004097348,0.0006346808,0.0002681779,0.0008076575,0.0006101697,0.0007237438,0.001024304],"category_scores_gemma":[0.003018545,0.0003057702,0.0002887837,0.0005238269,0.0003844902,0.0004927238,0.0006199506,0.0005046261,0.0004921345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006524542,"about_ca_system_score_gemma":0.0004372723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009443891,"about_ca_topic_score_gemma":0.0007572186,"domain_scores_codex":[0.9992303,0.0003391107,0.00003130579,0.0001417186,0.0002161853,0.00004136639],"domain_scores_gemma":[0.9990304,0.0003493037,0.0002573236,0.0001241931,0.0001984642,0.00004037379],"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":[0.001241946,0.00006615313,0.005391621,0.0004272232,0.00006904489,0.0001316692,0.0002398348,0.008369533,0.9447126,0.0007340625,0.0004016991,0.03821448],"study_design_scores_gemma":[0.00002127517,0.0006396899,0.007495323,0.00004995826,0.00007870369,0.0002189571,0.00005385522,0.01447813,0.9740713,0.0001735882,0.002685177,0.00003399785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8205279,0.00622982,0.1654132,0.0004152884,0.0001329204,0.0001947821,0.0004087673,0.001630281,0.005047001],"genre_scores_gemma":[0.9545066,0.0009653127,0.04233322,0.00009721821,0.00001543906,0.00007320758,0.0001922039,0.0002082727,0.001608535],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001597681,"threshold_uncertainty_score":0.008449495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1281053051971428,"score_gpt":0.339528280543487,"score_spread":0.2114229753463442,"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."}}