{"id":"W2884715880","doi":"10.1016/j.jocd.2018.07.002","title":"Concurrent Assessment of Cartilage Morphology and Bone Microarchitecture in the Human Knee Using Contrast-Enhanced HR-pQCT Imaging","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Densitometry","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Alberta Bone and Joint Health Institute","funders":"","keywords":"Cartilage; Medicine; Osteoarthritis; Tibia; Quantitative computed tomography; Magnetic resonance imaging; Bone mineral; Cadaveric spasm; X-ray microtomography; Femur; Biomedical engineering; Knee Joint; Nuclear medicine; Anatomy; Radiology; Osteoporosis; Pathology; Surgery","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":[0.0005078393,0.0001764463,0.0002909911,0.0006063438,0.00018986,0.0004923609,0.0002502512,0.0004025956,0.001330137],"category_scores_gemma":[0.001085744,0.0003752387,0.0001362098,0.0004220572,0.0003862357,0.0003363024,0.0002404993,0.0003208668,0.0002948188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031739,"about_ca_system_score_gemma":0.0002979837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004202673,"about_ca_topic_score_gemma":0.005711833,"domain_scores_codex":[0.9998078,0.00004811745,0.00001285726,0.00004783679,0.00006290631,0.00002052837],"domain_scores_gemma":[0.9996587,0.00005888706,0.00004544272,0.00004609596,0.0001586567,0.00003228499],"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":[0.002916256,0.0001324069,0.04173165,0.0002485176,0.00009739496,0.0007150691,0.0003130698,0.0005504732,0.9218991,0.0001735324,0.0002718969,0.03095067],"study_design_scores_gemma":[0.0001411384,0.001403363,0.8402676,0.00004962767,0.0003597555,0.009107527,0.0005852423,0.004916908,0.1410541,0.000337278,0.00172025,0.00005716387],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841715,0.002440268,0.01098586,0.00008022535,0.00001600077,0.0001020127,0.0003518782,0.00006591025,0.001786524],"genre_scores_gemma":[0.9920353,0.0007201592,0.006050923,0.00005180361,0.00001172699,0.0000325627,0.0001122585,0.00002253946,0.0009625974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004202673,"threshold_uncertainty_score":0.008356392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04829413160879798,"score_gpt":0.4328543765433084,"score_spread":0.3845602449345104,"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."}}