{"id":"W2564775465","doi":"10.1038/sc.2016.170","title":"Precision of dual-energy X-ray absorptiometry of the knee and heel: methodology and implications for research to reduce bone mineral loss after spinal cord injury","year":2016,"lang":"en","type":"article","venue":"Spinal Cord","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Canadian Institutes of Health Research; University of Manitoba","keywords":"Medicine; Calcaneus; Bone mineral; Heel; Tibia; Femur; Dual-energy X-ray absorptiometry; Coefficient of variation; Densitometry; Nuclear medicine; Population; Osteoporosis; Orthodontics; Anatomy; Surgery; Mathematics; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03216495,0.0008460859,0.00137229,0.001771999,0.0008951268,0.003311721,0.002258749,0.002041144,0.0005736688],"category_scores_gemma":[0.05918959,0.001057533,0.0008420283,0.001715852,0.001775779,0.00121309,0.001169248,0.001045575,0.0002901019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008849663,"about_ca_system_score_gemma":0.001325298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006066586,"about_ca_topic_score_gemma":0.008163724,"domain_scores_codex":[0.9805556,0.009923974,0.001662638,0.002891799,0.004627182,0.0003387783],"domain_scores_gemma":[0.9346578,0.04418389,0.006132397,0.006852222,0.00778303,0.000390639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005073302,0.0004062929,0.7002103,0.001356528,0.001962046,0.0001879718,0.002842125,0.004656888,0.07627268,0.003062223,0.001042082,0.2029276],"study_design_scores_gemma":[0.0004109287,0.003160852,0.8902337,0.0006783804,0.002839085,0.002462452,0.001130803,0.01571257,0.06998186,0.0049797,0.008145321,0.0002643227],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6839191,0.03795632,0.2667079,0.002547881,0.001048346,0.0002198473,0.001165494,0.0004509969,0.005984074],"genre_scores_gemma":[0.9096774,0.002284144,0.08546457,0.0007289489,0.0003564255,0.000100078,0.0002043863,0.0001171136,0.001066911],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03216495,"threshold_uncertainty_score":0.1701065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.230548808396832,"score_gpt":0.5109322103045316,"score_spread":0.2803834019076997,"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."}}