{"id":"W2047294084","doi":"10.1002/jbmr.427","title":"Volumetric bone mineral density and bone structure in childhood chronic kidney disease","year":2011,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Parathyroid Disorders and Treatments","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Center for Research Resources; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"Medicine; Kidney disease; Bone mineral; Parathyroid hormone; Internal medicine; Confidence interval; Endocrinology; Quantitative computed tomography; N-terminal telopeptide; Bone resorption; Dialysis; Bone density; Urology; Alkaline phosphatase; Osteoporosis; Calcium; Osteocalcin; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007498962,0.0003052302,0.0002796076,0.0009287379,0.0003291819,0.0004348835,0.0004145459,0.0004169066,0.0007674632],"category_scores_gemma":[0.002808426,0.0002736971,0.000415744,0.001095978,0.0003718153,0.0002738214,0.0005867081,0.0004509425,0.0001029967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004762593,"about_ca_system_score_gemma":0.0003503927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02762836,"about_ca_topic_score_gemma":0.0322018,"domain_scores_codex":[0.9995015,0.0001349191,0.00003884369,0.00008006929,0.0001757403,0.00006891026],"domain_scores_gemma":[0.998855,0.0001934184,0.0006299043,0.0000588221,0.000121576,0.0001413358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002960611,0.000006459946,0.9986101,0.00001169373,0.00003333279,0.00001421429,0.00002724762,0.00006242464,0.00008816838,0.00001864332,0.00003540945,0.001062699],"study_design_scores_gemma":[0.000001186902,0.00001560301,0.9996537,0.000005532773,0.00001093442,0.0001050158,0.00002499908,0.00007015025,0.00003312574,0.00001473245,0.00006403489,9.700558e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972382,0.001469539,0.0002108191,0.00006501094,0.000005279354,0.000005638655,0.0005684663,0.000009576675,0.0004276538],"genre_scores_gemma":[0.9988334,0.0003643117,0.0002432463,0.00001511602,0.000005196465,0.000006130276,0.0004272987,0.000002427707,0.0001028778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02762836,"threshold_uncertainty_score":0.0549351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03670307013473442,"score_gpt":0.3236479803129688,"score_spread":0.2869449101782344,"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."}}