{"id":"W2162249689","doi":"10.1109/tbme.2011.2113184","title":"Identification of Time-Varying Intrinsic and Reflex Joint Stiffness","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Control theory (sociology); Stiffness; Cascade; Torque; Nonlinear system; Joint stiffness; Reflex; Position (finance); Joint (building); Computer science; Mathematics; Engineering; Physics; Structural engineering; Artificial intelligence","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":[0.0007067847,0.0004995412,0.0004922638,0.0003331323,0.0002413676,0.0003388982,0.0005185953,0.0004845543,0.000663488],"category_scores_gemma":[0.002979951,0.0002960107,0.000313678,0.0002325988,0.0003151027,0.0006526822,0.0004946433,0.0005610791,0.000159255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000285866,"about_ca_system_score_gemma":0.0005168225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002523972,"about_ca_topic_score_gemma":0.002980062,"domain_scores_codex":[0.9997836,0.00004234133,0.00001242459,0.00006362797,0.00007609789,0.00002198802],"domain_scores_gemma":[0.9991867,0.0003997588,0.000118565,0.00009665348,0.0001580987,0.00004029447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002593259,0.00008860711,0.005624462,0.0001213541,0.00008178072,0.0001912837,0.0001963326,0.6832111,0.08424608,0.005306051,0.0003778665,0.2202958],"study_design_scores_gemma":[0.00000253356,0.00001781582,0.001072288,0.000002065935,0.000003392442,0.00003038074,0.000004622551,0.9942595,0.003866259,0.0006386078,0.0000965916,0.000005825802],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08254141,0.00005006288,0.9166392,0.00002396741,0.00001058992,0.00002425153,0.00002512561,0.0001354915,0.0005498939],"genre_scores_gemma":[0.8155083,0.0001106755,0.1828587,0.00001265772,0.00001097233,0.00006717163,0.00007068372,0.00004339065,0.001317363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002523972,"threshold_uncertainty_score":0.005018532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.032480542743147,"score_gpt":0.2309362391728313,"score_spread":0.1984556964296843,"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."}}