{"id":"W4388361139","doi":"10.1016/j.jbiomech.2023.111849","title":"Use it or lose it: The relationship between two image-based biomarkers in better understanding osteoarthritis progression in the wrist","year":2023,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Alberta Bone and Joint Health Institute; Western University","funders":"Canadian Arthritis Network","keywords":"Wrist; Osteoarthritis; Orthodontics; Medicine; Quantitative computed tomography; Imaging phantom; Bone density; Carpal bones; Anatomy; Nuclear medicine; Internal medicine; Osteoporosis","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":[0.001638695,0.0006269412,0.0006661717,0.003281375,0.0002303804,0.001796334,0.0004026641,0.001221262,0.001502844],"category_scores_gemma":[0.003820551,0.0003076744,0.0004925979,0.001554192,0.000512686,0.001417202,0.0007347133,0.0006981452,0.0005021504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000265933,"about_ca_system_score_gemma":0.0002655965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001617993,"about_ca_topic_score_gemma":0.002887045,"domain_scores_codex":[0.9995152,0.0001187544,0.00005856992,0.0001017234,0.0001361546,0.00006958799],"domain_scores_gemma":[0.9987407,0.0003627445,0.0005007807,0.00007342385,0.0002001112,0.0001222446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002079068,0.0002615993,0.8129281,0.0006134266,0.000640863,0.0006053842,0.0003787964,0.001581436,0.04043106,0.0006603869,0.001067122,0.1387527],"study_design_scores_gemma":[0.00005310328,0.001082654,0.9593304,0.0003034392,0.0009768227,0.003371998,0.0009328182,0.01431285,0.01315732,0.001852368,0.004511231,0.0001149518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470683,0.02764302,0.01768155,0.001025872,0.0001991246,0.0001473968,0.0006094273,0.000296086,0.005329306],"genre_scores_gemma":[0.9777769,0.003452361,0.01661307,0.0002858601,0.000172359,0.00007986395,0.0001856708,0.00003102628,0.001402763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003281375,"threshold_uncertainty_score":0.008666337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1562025459769771,"score_gpt":0.3691512331570475,"score_spread":0.2129486871800704,"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."}}