{"id":"W4408572860","doi":"10.1002/acm2.70081","title":"Evaluation of dosimetric and spatial accuracy of a virtual cone technique for radiosurgery using linac‐integrated CBCT‐based polymer gel dosimetry","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"","keywords":"Imaging phantom; Dosimetry; Nuclear medicine; Cone beam computed tomography; Sagittal plane; Radiosurgery; Collimator; Radiation treatment planning; Materials science; Physics; Optics; Radiation therapy; Medicine; Computed tomography; Radiology","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":[0.001292417,0.000548868,0.0002532302,0.0006271824,0.0001783726,0.0005732578,0.0007251411,0.0003930659,0.001415178],"category_scores_gemma":[0.003214047,0.0003154426,0.0002898965,0.0003041408,0.0004087918,0.0003286388,0.0005829865,0.0003918366,0.0003175494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000430062,"about_ca_system_score_gemma":0.0007038997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001821434,"about_ca_topic_score_gemma":0.001769423,"domain_scores_codex":[0.998746,0.0001526503,0.00005600031,0.0001628353,0.000837632,0.00004491263],"domain_scores_gemma":[0.9979458,0.0006442687,0.0004500318,0.0004359862,0.0004407209,0.00008306892],"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":[0.002144039,0.000326192,0.01515327,0.0004173307,0.0001301933,0.0001719407,0.0003706482,0.03343742,0.8376702,0.0006873006,0.0004697658,0.1090216],"study_design_scores_gemma":[0.0001836056,0.00462139,0.05446024,0.00008782657,0.0002682024,0.00191853,0.0001174653,0.1004513,0.8333085,0.0002450038,0.004183882,0.0001540584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.836302,0.001644273,0.1563282,0.00009804858,0.00006373909,0.0002753724,0.0003124687,0.001408551,0.003567517],"genre_scores_gemma":[0.9491288,0.0003487731,0.04896305,0.00003761938,0.00001031106,0.00007122054,0.0001919147,0.0003273395,0.0009210291],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001821434,"threshold_uncertainty_score":0.006835043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04143523135964861,"score_gpt":0.4015279231559499,"score_spread":0.3600926917963013,"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."}}