{"id":"W2533010734","doi":"10.1109/iembs.2004.1404298","title":"Time-varying parallel-cascade system identification of ankle stiffness from ensemble data","year":2005,"lang":"en","type":"article","venue":"","topic":"Effects of Vibration on Health","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Cascade; Control theory (sociology); System identification; Stiffness; Impulse (physics); Computer science; Impulse response; White noise; Noise (video); Gaussian; Joint stiffness; Mathematics; Data modeling; Artificial intelligence; Engineering; Physics; Structural engineering","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":[0.001002622,0.0006537112,0.0005718488,0.0004639178,0.0002988005,0.0002866627,0.0003585385,0.0004261638,0.001106437],"category_scores_gemma":[0.003483964,0.0002391947,0.0004414723,0.0003552609,0.0001606613,0.00068908,0.0003982353,0.0007072196,0.0002812243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002724116,"about_ca_system_score_gemma":0.000552197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005165346,"about_ca_topic_score_gemma":0.006664738,"domain_scores_codex":[0.9996955,0.00006919499,0.00001731411,0.00008860138,0.00009789711,0.00003159734],"domain_scores_gemma":[0.9992158,0.0004124684,0.00007017485,0.0001120279,0.0001673256,0.00002216412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0007197225,0.0002963212,0.01594692,0.0002169615,0.0002239886,0.0002707119,0.0003861523,0.5088054,0.07608861,0.002051375,0.0008373231,0.3941565],"study_design_scores_gemma":[0.000006549925,0.00007082742,0.005460958,0.00000474673,0.00001187115,0.00005720123,0.00001294292,0.9872175,0.006470768,0.0004666975,0.0002052127,0.00001465239],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2612079,0.0001214623,0.7365075,0.00005210967,0.00003291352,0.0001098268,0.0001940042,0.0007206241,0.001053624],"genre_scores_gemma":[0.8771941,0.00009143251,0.1213491,0.00001570618,0.00001110199,0.00009474305,0.0002915954,0.00004415817,0.0009080317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005165346,"threshold_uncertainty_score":0.01027054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0426966824672196,"score_gpt":0.3317003171149526,"score_spread":0.289003634647733,"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."}}