{"id":"W1425165754","doi":"10.1080/10790268.2006.11753898","title":"Bone Loss and Muscle Atrophy in Spinal Cord Injury: Epidemiology, Fracture Prediction, and Rehabilitation Strategies","year":2006,"lang":"en","type":"review","venue":"Journal of Spinal Cord Medicine","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":329,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University; Toronto Rehabilitation Institute","funders":"March of Dimes Foundation","keywords":"Spinal cord injury; Medicine; Atrophy; Muscle atrophy; Osteoporosis; Physical medicine and rehabilitation; Rehabilitation; Sarcopenia; Physical therapy; Spinal cord; Anatomy; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004565146,0.0007503587,0.004833417,0.002018212,0.0001205913,0.00003204651,0.0002592568,0.0007167631,0.00008406457],"category_scores_gemma":[0.003987448,0.0005082217,0.0004105096,0.001008709,0.001486633,0.0004062732,0.0001200089,0.003326076,0.000006132505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005307083,"about_ca_system_score_gemma":0.001054814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002675439,"about_ca_topic_score_gemma":0.00002592737,"domain_scores_codex":[0.9935967,0.0006845539,0.003375328,0.0006893353,0.0009850038,0.0006691252],"domain_scores_gemma":[0.9951142,0.0008474769,0.002097627,0.0004685273,0.0008660708,0.0006060816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02892545,0.0001888019,0.002206862,0.02226274,0.0001890373,0.0009133164,0.00002118638,4.627911e-7,0.00002996626,0.0002365433,0.008793051,0.9362326],"study_design_scores_gemma":[0.002234273,0.1745238,0.07047763,0.05766662,0.001493815,0.006007689,0.0003679569,0.000005280769,3.146339e-7,0.001414798,0.6854967,0.0003110553],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02306184,0.9690906,0.0002175585,0.005656329,0.0005115832,0.001232788,0.00002590772,0.00002549669,0.0001779324],"genre_scores_gemma":[0.01652677,0.9780723,0.002057019,0.0003670708,0.002680782,0.0000356458,0.00005165608,0.00008251161,0.0001261762],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9359215,"threshold_uncertainty_score":0.999737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09026154894283396,"score_gpt":0.4694698459738397,"score_spread":0.3792082970310057,"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."}}