{"id":"W2006200072","doi":"10.3109/03091902.2010.503309","title":"Application of robotic technology in biomechanics to study joint laxity","year":2010,"lang":"en","type":"article","venue":"Journal of Medical Engineering & Technology","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Canadian Arthritis Network; Canadian Institutes of Health Research","keywords":"Biomechanics; Osteoarthritis; Kinematics; Stiffness; Joint (building); Joint stiffness; Medicine; Biomedical engineering; Physical medicine and rehabilitation; Orthodontics; Control theory (sociology); Computer science; Engineering; Anatomy; Structural engineering; Artificial intelligence; Physics; Pathology; Control (management)","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":[0.001192269,0.0004156659,0.0002203392,0.0005305366,0.0001892967,0.000211424,0.000226856,0.0004274698,0.001454304],"category_scores_gemma":[0.0009477098,0.0002213799,0.0002493081,0.0001798638,0.0005740851,0.0002451011,0.0002754251,0.0002689186,0.0001824753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450577,"about_ca_system_score_gemma":0.0001844188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003403502,"about_ca_topic_score_gemma":0.0005301329,"domain_scores_codex":[0.9995432,0.0001900885,0.00002748539,0.00006561386,0.0001429801,0.00003057515],"domain_scores_gemma":[0.9993879,0.0003205968,0.0001191238,0.00008062643,0.00006298306,0.00002869548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001959808,0.0001475322,0.003930395,0.0001776325,0.00002609319,0.00009081218,0.00005164896,0.0007934921,0.9720045,0.0002733413,0.00006235712,0.02224628],"study_design_scores_gemma":[0.0002359275,0.02617984,0.1721428,0.0001658773,0.0001952175,0.006195104,0.0002592111,0.01748935,0.7668574,0.001017381,0.00915,0.0001119776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8674526,0.009000615,0.1193265,0.000216047,0.0001111358,0.0002401886,0.0001179232,0.0001479559,0.003387011],"genre_scores_gemma":[0.9190306,0.00259784,0.07653595,0.000102944,0.00005266155,0.0002469001,0.00009504851,0.00000949776,0.001328575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001454304,"threshold_uncertainty_score":0.006305397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007128247939736682,"score_gpt":0.2568314964810774,"score_spread":0.2497032485413408,"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."}}