{"id":"W7074020447","doi":"","title":"Knee joint kinematics and cartilage health using magnetic resonance imaging: applications to high tibial osteotomy","year":2013,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Kinematics; Osteoarthritis; Biomechanics; High tibial osteotomy; Articular cartilage damage","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":[0.0003682813,0.0004279089,0.0002910006,0.0008448212,0.0001224146,0.0003051179,0.0002126589,0.0003962245,0.0005899247],"category_scores_gemma":[0.001032574,0.0002107478,0.0002022102,0.0007406919,0.0003818992,0.0002358201,0.0002753841,0.0001853218,0.0001055499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002340287,"about_ca_system_score_gemma":0.0002090646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0022334,"about_ca_topic_score_gemma":0.003033911,"domain_scores_codex":[0.9998747,0.00004429429,0.00001111503,0.00001841034,0.00003344931,0.00001793157],"domain_scores_gemma":[0.9995224,0.0001390487,0.0001890093,0.00002900747,0.00007775161,0.00004269776],"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":[0.002348696,0.0008306347,0.20858,0.0008535317,0.0001794378,0.002237014,0.000524744,0.008565735,0.3931556,0.0004223802,0.000283234,0.3820191],"study_design_scores_gemma":[0.00006003581,0.00240497,0.9595391,0.00008501107,0.0001349531,0.003653402,0.0004502819,0.0121532,0.02003319,0.0005190766,0.0009209372,0.00004586537],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737057,0.009755488,0.01466983,0.0002158594,0.00001933222,0.00005008947,0.0000726983,0.00006705922,0.001443854],"genre_scores_gemma":[0.9836113,0.004588029,0.01123076,0.00004692414,0.000053741,0.00002753263,0.00005574872,0.000007852175,0.0003781045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0022334,"threshold_uncertainty_score":0.004440784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02056602074179995,"score_gpt":0.1795540897195847,"score_spread":0.1589880689777848,"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."}}