{"id":"W4413122156","doi":"10.1101/2025.08.02.25332864","title":"Precise dose verification in proton therapy using Positron Emission Tomography","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Positron emission tomography; Proton therapy; Imaging phantom; Nuclear medicine; Lyso-; Positron; Proton; In vivo; Positron emission; Radiation therapy; Materials science; Physics; Medicine; Detector; Nuclear physics; Radiology; Optics","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":[0.0003403346,0.0002976021,0.0002484174,0.0001810925,0.00008026118,0.0004194959,0.0003413595,0.000427029,0.0007817441],"category_scores_gemma":[0.0008809936,0.0001552464,0.0001739723,0.0001443872,0.000261952,0.0002246748,0.0002585778,0.0001982349,0.0001408363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004058966,"about_ca_system_score_gemma":0.0002381951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008421134,"about_ca_topic_score_gemma":0.0004415429,"domain_scores_codex":[0.9997708,0.00006526449,0.00001428926,0.00005153387,0.00007110764,0.00002694518],"domain_scores_gemma":[0.9996823,0.0001516603,0.00007941329,0.00003524683,0.00003961464,0.00001188831],"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":[0.001311334,0.0001475329,0.01171258,0.0001834275,0.00006258828,0.0003943979,0.0001785482,0.07092108,0.8926806,0.0005352528,0.0002275768,0.02164504],"study_design_scores_gemma":[0.0001001392,0.001523821,0.0259886,0.00002013755,0.0000706822,0.0006127243,0.00007616649,0.07303261,0.8962053,0.000363219,0.001965308,0.00004129486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9222696,0.0008312046,0.07473934,0.00007015921,0.00001555511,0.00006615874,0.0001831844,0.0004114828,0.001413435],"genre_scores_gemma":[0.9923902,0.0001166714,0.007056874,0.00002045959,0.000002111334,0.00001880195,0.00005084201,0.00003453745,0.0003094417],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0008421134,"threshold_uncertainty_score":0.002944946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03933319742000527,"score_gpt":0.3409001975666525,"score_spread":0.3015670001466472,"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."}}