{"id":"W4415046433","doi":"10.1093/jbmr/zjaf144","title":"Automated abdominal aortic calcification and trabecular bone score independently predict incident fracture during routine osteoporosis screening","year":2025,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; George & Fay Yee Centre for Healthcare Innovation; Concordia University","funders":"AgNovos Healthcare; Raine Medical Research Foundation; University of Manitoba; National Heart Foundation of Australia; Amgen","keywords":"Trabecular bone score; Osteoporosis; Subclinical infection; Bone mineral; Proportional hazards model; Cohort; Bone density; Cohort study","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008347239,0.0004184808,0.0004046918,0.0007232897,0.0002501152,0.0007134349,0.0004463785,0.000556184,0.0007019071],"category_scores_gemma":[0.004594186,0.0003432949,0.00034825,0.0009725207,0.0002118892,0.0002295991,0.0003832395,0.0005356565,0.0002381361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003505716,"about_ca_system_score_gemma":0.000525011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03068359,"about_ca_topic_score_gemma":0.04490087,"domain_scores_codex":[0.999463,0.0001626946,0.00004874338,0.0001202709,0.0001420348,0.00006328083],"domain_scores_gemma":[0.9982728,0.0004256608,0.0006609046,0.0001415644,0.000347993,0.0001510661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001206761,0.00002174786,0.9978403,0.000006467005,0.00005817015,0.00002044913,0.00001435873,0.0001977941,0.0001607562,0.000006505388,0.00006795068,0.00148486],"study_design_scores_gemma":[0.00001086893,0.00006704864,0.9962525,0.000006879518,0.00006301347,0.0001424929,0.00003093326,0.003153883,0.0001351536,0.0000295801,0.0001032882,0.000004484668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987136,0.0002780237,0.000264338,0.00003814121,0.000006565078,0.000008255762,0.000376752,0.0000194269,0.0002948799],"genre_scores_gemma":[0.9989327,0.00008826131,0.0003382374,0.00001623336,0.00000939108,0.000005458161,0.000416998,0.000002750956,0.0001900514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03068359,"threshold_uncertainty_score":0.06101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03740931003790255,"score_gpt":0.3800143524363066,"score_spread":0.3426050423984041,"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."}}