{"id":"W4391401063","doi":"10.1093/bjr/tqae023","title":"Dual-energy CT applications in musculoskeletal disorders","year":2024,"lang":"en","type":"article","venue":"British Journal of Radiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Digital Enhanced Cordless Telecommunications; Medicine; Calcification; Reduction (mathematics); Soft tissue; Radiology; Computer science","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":[0.0008407187,0.0004498552,0.0003711407,0.001789543,0.0003291486,0.001282963,0.0005292068,0.001403127,0.007095401],"category_scores_gemma":[0.00195004,0.0004299979,0.0003632531,0.001123252,0.00081677,0.0007450273,0.001313953,0.00117732,0.00199925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003870673,"about_ca_system_score_gemma":0.0005648564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006785364,"about_ca_topic_score_gemma":0.0009018527,"domain_scores_codex":[0.9996892,0.0001081003,0.00003589533,0.00004750726,0.00009395983,0.00002535553],"domain_scores_gemma":[0.9991115,0.0004741965,0.0000688462,0.00007723479,0.0001758023,0.00009243168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007405187,0.0001897814,0.01422886,0.003420204,0.00006082753,0.01264922,0.0006681448,0.004609117,0.1949332,0.01431583,0.01625664,0.7379278],"study_design_scores_gemma":[0.0001548304,0.0009718834,0.04451418,0.00399925,0.0002554112,0.2716392,0.000908906,0.0214579,0.1160936,0.03036107,0.5093704,0.0002734229],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.08858068,0.4103648,0.3574218,0.01181467,0.001795857,0.0004398907,0.0006423887,0.002147019,0.1267929],"genre_scores_gemma":[0.4588608,0.2000892,0.3134122,0.00348358,0.002298334,0.0003302355,0.00045581,0.0005373881,0.02053237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007095401,"threshold_uncertainty_score":0.02373648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002904949598098162,"score_gpt":0.21992094497149,"score_spread":0.2170159953733919,"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."}}