{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001607268,0.0001411935,0.0008496917,0.0002763165,0.00005557002,0.00001771467,0.00008347864,0.0001091261,0.00003243249],"category_scores_gemma":[0.0003489681,0.0000900923,0.0002207091,0.000214694,0.000364416,0.00005849602,0.00004574174,0.00058019,0.000001010383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003305337,"about_ca_system_score_gemma":0.0001184948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005278517,"about_ca_topic_score_gemma":0.00001131242,"domain_scores_codex":[0.9977892,0.0002784796,0.001204273,0.0001710127,0.0003380899,0.0002189368],"domain_scores_gemma":[0.998257,0.0004826253,0.0006729008,0.0001791279,0.0002768156,0.0001314694],"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":[0.0002035241,0.0004615909,0.206236,0.0000389047,0.00007278196,0.0008279395,0.0002529267,8.87622e-7,0.7541075,0.00005905998,0.00007482866,0.03766403],"study_design_scores_gemma":[0.02717205,0.01331637,0.8190942,0.001308939,0.00114517,0.006539665,0.001223869,0.0001943727,0.1289308,0.0004428138,0.0003450223,0.000286637],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965071,0.001138494,0.0008236064,0.0003514536,0.0007478509,0.0002288492,0.000003921377,0.000004305948,0.0001943964],"genre_scores_gemma":[0.9962934,0.00004581611,0.002409661,0.0004989609,0.0007231327,9.564931e-7,0.000001785476,0.00001276625,0.0000135749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6251767,"threshold_uncertainty_score":0.3673857,"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."}}