{"id":"W2317274798","doi":"10.1016/j.joca.2015.02.444","title":"Investigating the role of bone microarchitecture in early osteoarthritis using new in vivo 3D high-resolution peripheral quantitative computed tomography","year":2015,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Osteoarthritis; Quantitative computed tomography; Medicine; Cartilage; Peripheral; Anterior cruciate ligament; Radiology; Magnetic resonance imaging; Bone mineral; Nuclear medicine; Biomedical engineering; Anatomy; Pathology; Osteoporosis; Internal medicine","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":[0.0008597346,0.0003821589,0.0003220583,0.000885183,0.0001661143,0.0008443812,0.0004151891,0.0006332772,0.001125655],"category_scores_gemma":[0.0009131291,0.0005584655,0.0002001355,0.0004992773,0.0004833798,0.0008215099,0.000270723,0.0004633731,0.0001657609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002336457,"about_ca_system_score_gemma":0.0003771677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001963086,"about_ca_topic_score_gemma":0.002976684,"domain_scores_codex":[0.9998233,0.00004854381,0.00001325277,0.00003059909,0.00005907316,0.00002523704],"domain_scores_gemma":[0.9995767,0.000142019,0.0001011337,0.00004671893,0.0001044599,0.00002878846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006893667,0.00008407758,0.01795688,0.0002618743,0.00005208436,0.0002381429,0.00015264,0.001948262,0.9605398,0.0004567177,0.0001253887,0.01749485],"study_design_scores_gemma":[0.0001660139,0.00121575,0.3449569,0.0001409056,0.0006151382,0.006465116,0.0007511321,0.07558451,0.5634164,0.001692664,0.004843854,0.0001516241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9239054,0.006617421,0.0671315,0.000212782,0.00002984529,0.00007384921,0.000467628,0.0002005531,0.001361077],"genre_scores_gemma":[0.9627188,0.002101175,0.03393222,0.00008803704,0.00002527174,0.00005509249,0.0001830756,0.00004573953,0.0008506542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001963086,"threshold_uncertainty_score":0.004546762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527746343853297,"score_gpt":0.2378957401431802,"score_spread":0.2226182767046472,"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."}}