{"id":"W1980284481","doi":"10.1007/s00198-013-2419-1","title":"Exploring the determinants of fracture risk among individuals with spinal cord injury","year":2013,"lang":"en","type":"article","venue":"Osteoporosis International","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; McMaster University; Toronto Rehabilitation Institute; University of Toronto; University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Bone mineral; Tibia; Spinal cord injury; Quantitative computed tomography; Bone density; Osteoporosis; Femur; Orthopedic surgery; Orthodontics; Surgery; Internal medicine; Spinal cord","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003204642,0.0001690819,0.0002490113,0.0002030381,0.00009927104,0.00006256204,0.0004171995,0.00005543788,0.001288551],"category_scores_gemma":[0.0002841018,0.0001018345,0.00009438241,0.0002195053,0.0002575662,0.0004813712,0.0001469436,0.0004501407,0.000115961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000839131,"about_ca_system_score_gemma":0.00008779145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006902526,"about_ca_topic_score_gemma":0.0000459492,"domain_scores_codex":[0.9980196,0.0000567474,0.000363063,0.0002655992,0.001039937,0.0002550851],"domain_scores_gemma":[0.9986306,0.00009462816,0.0002771753,0.0003806536,0.0005010021,0.0001159373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001555395,0.00008654346,0.9423496,0.0000227318,0.0001085654,0.000007376246,0.0001023787,0.000001799844,0.0007273023,0.00001654498,0.00128729,0.05373452],"study_design_scores_gemma":[0.0005865291,0.00445378,0.9705973,0.0002727049,0.00006078528,0.0000469163,0.0005801005,0.00008810518,0.0208215,0.00006821895,0.002309248,0.0001148366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964865,0.00003018573,0.00003442574,0.0008410874,0.0002391761,0.0005343048,0.00003671624,0.00002712966,0.001770416],"genre_scores_gemma":[0.997381,0.00007291472,0.001106198,0.0002299757,0.0002303767,0.0002594462,0.00001720195,0.00002855426,0.0006743118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05361969,"threshold_uncertainty_score":0.9996244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06335639740793211,"score_gpt":0.3593558218134943,"score_spread":0.2959994244055622,"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."}}