{"id":"W4411872911","doi":"10.1038/s41598-025-06626-1","title":"Equivalence assessment of weight bearing cone beam CT and multidetector CT through 3D Knee bone modelling","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hip and Knee Clinic","funders":"","keywords":"Cone beam computed tomography; Cadaveric spasm; Medicine; Nuclear medicine; Radiology; Equivalence (formal languages); Computed tomography; Standard deviation; Tomography; Biomedical engineering; Mathematics; Anatomy","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":[0.005132431,0.0005546633,0.0004504811,0.002286964,0.0001759053,0.00214262,0.001005925,0.0008652866,0.001811048],"category_scores_gemma":[0.02232692,0.0005116228,0.0005740692,0.0009507046,0.0007442747,0.001068173,0.001759853,0.0004683046,0.0004600195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004472327,"about_ca_system_score_gemma":0.0005269573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001458201,"about_ca_topic_score_gemma":0.001470429,"domain_scores_codex":[0.9953002,0.001017282,0.0003225535,0.0005757339,0.002657608,0.0001265281],"domain_scores_gemma":[0.9921378,0.003602096,0.001030272,0.001221675,0.001824889,0.0001831407],"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":[0.002785511,0.0004253992,0.07611901,0.0009236346,0.0003670855,0.001467923,0.001397189,0.09356438,0.3727258,0.007368406,0.0009250556,0.4419305],"study_design_scores_gemma":[0.0001465019,0.002432097,0.1953248,0.0002182256,0.000378569,0.007942775,0.0008965306,0.5658413,0.2097377,0.005005848,0.01178071,0.0002949969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5700697,0.001896801,0.4211144,0.0001707392,0.0001268543,0.0003194414,0.0004544278,0.0008266,0.0050211],"genre_scores_gemma":[0.9097134,0.0004865034,0.08837302,0.00006934911,0.0000238583,0.00009846989,0.0004184674,0.0002431498,0.0005738305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005132431,"threshold_uncertainty_score":0.02714324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03466510735875394,"score_gpt":0.345461670095702,"score_spread":0.3107965627369481,"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."}}