{"id":"W2994795326","doi":"10.1002/acm2.12799","title":"MOSFET dosimeter characterization in MR‐guided radiation therapy (MRgRT) Linac","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Medical Council of Canada","funders":"","keywords":"Linear particle accelerator; Dosimeter; Medical physics; Radiation therapy; Nuclear medicine; Characterization (materials science); Radiation; Nuclear engineering; Medicine; Dosimetry; Physics; Nuclear physics; Optics; Engineering; Radiology; Beam (structure)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003858798,0.0002181274,0.0002211792,0.0003907769,0.00016281,0.0002504686,0.0002993616,0.0002713118,0.0009226315],"category_scores_gemma":[0.001113351,0.000160108,0.000181719,0.0003581058,0.0002247757,0.0002314087,0.0001514267,0.0001399157,0.0001947249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005179477,"about_ca_system_score_gemma":0.0001691414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009803566,"about_ca_topic_score_gemma":0.001205483,"domain_scores_codex":[0.9996753,0.00005749757,0.00001547553,0.0000829571,0.0001440293,0.00002472718],"domain_scores_gemma":[0.9991397,0.0003012313,0.0001922653,0.00008923974,0.0002562616,0.00002127477],"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":[0.0002868531,0.00002340261,0.0134194,0.0001747496,0.00003196357,0.0001185199,0.0003312221,0.003951144,0.9687828,0.0001654228,0.0003338584,0.01238063],"study_design_scores_gemma":[0.00001424242,0.0008312635,0.05625138,0.00001823359,0.00005914015,0.0005095272,0.0001080893,0.01308359,0.9268125,0.00007300014,0.002213797,0.00002522601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777222,0.0005138777,0.01981065,0.0000565698,0.00001667022,0.00003653285,0.0004693567,0.0004684123,0.000905745],"genre_scores_gemma":[0.9961627,0.00008295142,0.003179098,0.00001643628,0.000002536554,0.00001127685,0.0001215615,0.00003044072,0.0003930783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009803566,"threshold_uncertainty_score":0.003758013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02034627138667544,"score_gpt":0.3486680551199801,"score_spread":0.3283217837333047,"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."}}