{"id":"W4408244428","doi":"10.1002/acm2.70023","title":"Multi‐institutional study on image quality for a novel CBCT solution on O‐ring linac","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Health Authority","funders":"","keywords":"Image quality; Hounsfield scale; Nuclear medicine; Cone beam computed tomography; Mathematics; Medicine; Physics; Optics; Computed tomography; Computer science; Radiology; Image (mathematics); Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001653365,0.0002020098,0.0005609977,0.00005988436,0.0001298033,0.00002102611,0.0002820342,0.0001412103,0.000006338006],"category_scores_gemma":[0.001129266,0.0001611387,0.0002921,0.000168959,0.0001493392,0.0001085063,0.00004581561,0.001198484,0.00001232578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000129983,"about_ca_system_score_gemma":0.0001478075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.238536e-7,"about_ca_topic_score_gemma":0.000001160969,"domain_scores_codex":[0.997678,0.000033526,0.001192533,0.0002113413,0.000627291,0.000257238],"domain_scores_gemma":[0.9977137,0.001540726,0.0002216705,0.0001950136,0.0001229466,0.0002059461],"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":[0.004808335,0.02145014,0.001203759,0.0006486847,0.001762936,0.00007341745,0.0006859911,0.1190828,0.0167776,0.1101213,0.002805314,0.7205797],"study_design_scores_gemma":[0.1080756,0.006800831,0.1009217,0.004848436,0.001403827,0.00002599507,0.003592887,0.6083328,0.01911054,0.1189108,0.02470929,0.00326725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1190768,0.00002446561,0.8767432,0.0003719804,0.001326125,0.0003321995,0.000009214258,0.00006371466,0.002052325],"genre_scores_gemma":[0.9845527,0.0000240294,0.01334674,0.0007222157,0.001299101,0.00002097704,0.000003104295,0.00001959924,0.00001147742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.865476,"threshold_uncertainty_score":0.6571046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07774492825170592,"score_gpt":0.4267909392190251,"score_spread":0.3490460109673192,"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."}}