{"id":"W4409231909","doi":"10.1088/1361-6560/adc9f6","title":"Absorbed and effective dose estimates in HR-pQCT of the distal radius and tibia: virtual dosimetry with a GPU-accelerated Monte Carlo code","year":2025,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary; Virginia Information Technologies Agency","keywords":"Tibia; Nuclear medicine; Dosimetry; Monte Carlo method; Ankle; Absorbed dose; RADIUS; Imaging phantom; Physics; Medicine; Computer science; Mathematics; Anatomy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005116167,0.0003974737,0.0003128949,0.0004336241,0.000224902,0.0005699885,0.0008613852,0.0005303071,0.002017823],"category_scores_gemma":[0.002186985,0.0002756855,0.0004037798,0.0004170014,0.0003445599,0.0002442501,0.0003967427,0.0003699797,0.0004277389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007535485,"about_ca_system_score_gemma":0.0008945994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005624222,"about_ca_topic_score_gemma":0.004171518,"domain_scores_codex":[0.9997787,0.00006306607,0.00001324367,0.00003056733,0.0001006734,0.00001376895],"domain_scores_gemma":[0.9993851,0.0002309505,0.00006760448,0.00008198129,0.0002112643,0.00002313604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001626838,0.00004301668,0.002901992,0.00009262487,0.00005972423,0.0001257865,0.0001161854,0.9481003,0.02227402,0.002329827,0.0008853964,0.02290843],"study_design_scores_gemma":[0.00001426376,0.00001865538,0.0007439856,0.000007582399,0.000009572735,0.00004350343,0.000006359763,0.9923424,0.005510873,0.0003539289,0.0009399277,0.000009025711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1369794,0.0002066871,0.8529877,0.0001207198,0.00003228988,0.000161117,0.0004533675,0.003584432,0.0054742],"genre_scores_gemma":[0.6741118,0.0001043786,0.3223934,0.00007634877,0.000008095016,0.0002015413,0.000335807,0.000858918,0.001909678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005624222,"threshold_uncertainty_score":0.01118302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03401452497543631,"score_gpt":0.3192282822645879,"score_spread":0.2852137572891516,"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."}}