{"id":"W2425943125","doi":"10.1016/j.ifacol.2015.12.265","title":"Methods for the Identification of Time-Varying Hammerstein Systems with Applications to the Study of Dynamic Joint Stiffness","year":2015,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Joint (building); Stiffness; Joint stiffness; Position (finance); Computer science; Control theory (sociology); Identification (biology); Point (geometry); Series (stratigraphy); Strengths and weaknesses; System identification; Angular displacement; Mathematics; Structural engineering; Engineering; Artificial intelligence; Measure (data warehouse); Data mining; Control (management)","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":[0.002937435,0.001790211,0.001139875,0.001440839,0.0005532852,0.0007700414,0.001196066,0.001313455,0.003155372],"category_scores_gemma":[0.008375351,0.0006038791,0.001192527,0.001245217,0.0009580426,0.001081908,0.001115425,0.002382833,0.001276459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006244233,"about_ca_system_score_gemma":0.0008630053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003006846,"about_ca_topic_score_gemma":0.004245875,"domain_scores_codex":[0.999121,0.0003117568,0.00007937741,0.0001666298,0.0002838621,0.00003745481],"domain_scores_gemma":[0.9958743,0.00320704,0.0003175757,0.0001912953,0.000367794,0.00004199772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006954145,0.0000694576,0.0006275903,0.0005366108,0.0002221347,0.0001332192,0.0003122829,0.4646974,0.01148231,0.07326871,0.002233671,0.4463471],"study_design_scores_gemma":[0.00001020833,0.00003766763,0.0003586158,0.00005353477,0.00001974011,0.0001132562,0.00001703552,0.9659603,0.001782338,0.02645905,0.005145223,0.0000429558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002677859,0.0003094313,0.9990687,0.00002361252,0.00001190071,0.00001025693,0.00000800439,0.00007993638,0.000220349],"genre_scores_gemma":[0.03991636,0.001746305,0.9540167,0.00006150648,0.0001351163,0.0002488501,0.0001169349,0.0002146406,0.003543589],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003155372,"threshold_uncertainty_score":0.01553482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03559580045244926,"score_gpt":0.3112383085114431,"score_spread":0.2756425080589939,"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."}}