{"id":"W2407440927","doi":"10.1002/jbmr.2873","title":"Sex- and Site-Specific Normative Data Curves for HR-pQCT","year":2016,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Quantitative computed tomography; Medicine; Osteoporosis; Bone mineral; Tibia; Area under the curve; Densitometry; Nuclear medicine; Cohort; Bone density; Internal medicine; Radiology; Surgery","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.004432551,0.000662317,0.0006462547,0.00381175,0.0007467406,0.001251586,0.001312089,0.0006828018,0.003695858],"category_scores_gemma":[0.0192723,0.0002529527,0.0005987529,0.00278204,0.0004174724,0.0005779945,0.0008570983,0.0006335875,0.001645588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008427712,"about_ca_system_score_gemma":0.001225795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02124135,"about_ca_topic_score_gemma":0.03414145,"domain_scores_codex":[0.9973895,0.000513666,0.0003556596,0.0004137608,0.001196152,0.0001313952],"domain_scores_gemma":[0.991671,0.001251962,0.001163584,0.001263263,0.004432925,0.0002173138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009390604,0.0002725948,0.7181518,0.0005766245,0.0003089393,0.0005090493,0.001665172,0.004349291,0.009256749,0.003816757,0.01591422,0.2442397],"study_design_scores_gemma":[0.00003954821,0.000332588,0.9581259,0.0002203192,0.00009375691,0.003296472,0.000684896,0.004912476,0.003443235,0.001704224,0.02707368,0.00007296116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7157738,0.005029058,0.1792588,0.0003090249,0.0003236166,0.001770934,0.05367325,0.003081168,0.04078037],"genre_scores_gemma":[0.8619974,0.001331043,0.08708617,0.0002378342,0.00005386211,0.002837934,0.03992424,0.000780226,0.005751276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02124135,"threshold_uncertainty_score":0.04223537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2108804229088616,"score_gpt":0.4558774690168993,"score_spread":0.2449970461080377,"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."}}