{"id":"W4409695832","doi":"10.1002/acm2.70098","title":"Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; Saskatchewan Cancer Agency; University of Victoria","funders":"","keywords":"SABR volatility model; Rectum; Medicine; Prostate; Prostate cancer; Cone beam computed tomography; Nuclear medicine; Radiation therapy; Image-guided radiation therapy; Medical physics; Radiology; Surgery; Computed tomography; Cancer; Internal medicine; Mathematics","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":[0.001138359,0.0003611266,0.000266077,0.001404688,0.0001395947,0.0007717277,0.0006822564,0.0004828302,0.001365498],"category_scores_gemma":[0.005323434,0.0004190968,0.0003446346,0.0005736131,0.0002593713,0.0004577256,0.000587009,0.0005474313,0.0005042807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008119603,"about_ca_system_score_gemma":0.0005494161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005884404,"about_ca_topic_score_gemma":0.007178435,"domain_scores_codex":[0.9994566,0.0001481059,0.00005676122,0.000116031,0.000192831,0.00002975804],"domain_scores_gemma":[0.9980986,0.0007936143,0.0002797563,0.0003678112,0.0004117237,0.00004861653],"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":[0.0006704153,0.0001984719,0.07688139,0.0002280569,0.00006956927,0.0004003273,0.0004081372,0.2626571,0.05424878,0.001516246,0.00223789,0.6004836],"study_design_scores_gemma":[0.00003480543,0.0001700565,0.03617943,0.00005458473,0.00004591269,0.0006600909,0.00008929475,0.8895326,0.06792838,0.001290268,0.003941104,0.00007348633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.434001,0.0007767283,0.5558826,0.000245875,0.00004326518,0.0003361367,0.00146793,0.0032151,0.004031395],"genre_scores_gemma":[0.8859962,0.0001747288,0.1119541,0.00005568723,0.000008900071,0.00008462252,0.0007334088,0.0003280245,0.0006643225],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005884404,"threshold_uncertainty_score":0.01170033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04501980472056302,"score_gpt":0.4503589948847775,"score_spread":0.4053391901642145,"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."}}