{"id":"W1587241510","doi":"10.1002/jbmr.2358","title":"Longitudinal HR-pQCT and Image Registration Detects Endocortical Bone Loss in Kidney Transplantation Patients","year":2014,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Parathyroid Disorders and Treatments","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Diabetes and Digestive and Kidney Diseases; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Tibia; Medicine; Region of interest; Cortical bone; Quantitative computed tomography; Transplantation; Kidney transplantation; Nuclear medicine; Kidney disease; Osteoporosis; Radiology; Internal medicine; Bone mineral; Surgery; Anatomy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006378737,0.00008330754,0.0002503727,0.000275911,0.00005701157,0.00003500385,0.00001977498,0.00005235679,0.000005477528],"category_scores_gemma":[0.0004956269,0.00006199608,0.00003881055,0.0001388312,0.0001064922,0.0001918927,0.00001140178,0.0002792254,0.000002652928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003645346,"about_ca_system_score_gemma":0.00008887135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008592142,"about_ca_topic_score_gemma":0.00006665943,"domain_scores_codex":[0.9987406,0.00009931435,0.000347309,0.0001324916,0.0004553449,0.0002249056],"domain_scores_gemma":[0.9992574,0.00009305794,0.00008296421,0.00006704166,0.0002261979,0.0002733334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005412141,0.001372058,0.8775687,0.0002146354,0.00007976475,0.002353148,0.0006728746,0.000001748303,0.09324455,0.0002714431,0.005969728,0.01283919],"study_design_scores_gemma":[0.01096823,0.002689694,0.9827146,0.0001298501,0.00005595003,0.0007201111,0.00004169508,0.0002463415,0.001576752,0.0004399149,0.0003449261,0.00007194818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969842,0.0009535436,0.0001047828,0.0008890787,0.00002280514,0.0001635417,0.000003713122,0.000001983471,0.0008763789],"genre_scores_gemma":[0.9978794,0.001376041,0.0004040484,0.00005063066,0.00007097202,0.000004147031,0.0000119554,0.000006968816,0.0001958386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1051459,"threshold_uncertainty_score":0.2528127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03513750440210412,"score_gpt":0.3578284145936098,"score_spread":0.3226909101915057,"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."}}