{"id":"W3125380522","doi":"10.1016/j.jocd.2021.01.004","title":"Validation of Bone Density and Microarchitecture Measurements of the Load-Bearing Femur in the Human Knee Obtained Using In Vivo HR-pQCT Protocol","year":2021,"lang":"en","type":"article","venue":"Journal of Clinical Densitometry","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quantitative computed tomography; Medicine; Bone mineral; Tibia; Nuclear medicine; Peripheral; In vivo; Biomedical engineering; Cadaver; Ex vivo; Microarchitecture; Femur; Osteoporosis; Anatomy; Pathology; Surgery; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002375667,0.0001147267,0.0004799877,0.0001625623,0.00004164716,0.00002080051,0.0001434799,0.00009418403,0.000005183779],"category_scores_gemma":[0.00112913,0.00007764471,0.0001603345,0.0006013467,0.00007691435,0.000121866,0.00007175902,0.0007240711,1.059375e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006123487,"about_ca_system_score_gemma":0.00008274023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008221227,"about_ca_topic_score_gemma":0.00002275349,"domain_scores_codex":[0.9977184,0.0003043944,0.001235929,0.0001093257,0.000480696,0.0001512654],"domain_scores_gemma":[0.9987073,0.0003329791,0.0004557812,0.0002059318,0.0002580036,0.00004002311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008258004,0.0001222972,0.4979489,0.0002039031,0.00005063988,0.00004633994,0.0003728617,0.01276524,0.4868225,0.00000346953,0.00000897963,0.001572286],"study_design_scores_gemma":[0.002337697,0.00007027995,0.5342036,0.0008087233,0.00005596368,0.0001880228,0.0003535132,0.0009351247,0.4604097,0.0004733644,0.00004082454,0.0001230955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972775,0.0000971241,0.0008532304,0.00004900542,0.0001519655,0.001476752,7.174673e-7,0.000004154164,0.00008953288],"genre_scores_gemma":[0.9974656,0.000003560716,0.00233686,0.00004313593,0.0001136231,0.00002027468,1.238736e-7,0.00001264361,0.000004212021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03625477,"threshold_uncertainty_score":0.316626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06982707903308068,"score_gpt":0.3801664978705165,"score_spread":0.3103394188374359,"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."}}