{"id":"W2329674230","doi":"10.1115/imece2008-69005","title":"A New LuGre Friction Model for MR-9000 Type MR Damper","year":2008,"lang":"en","type":"article","venue":"","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Damper; Hysteresis; Control theory (sociology); Modal; Excitation; Type (biology); Computer science; Structural engineering; Engineering; Materials science; Physics; Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002108545,0.00007256125,0.00008599116,0.00002332501,0.00005714614,0.000007997515,0.00004624711,0.0000773541,0.0004891361],"category_scores_gemma":[0.00001405016,0.00005364681,0.00004319195,0.00006850725,0.000005854297,0.00009489435,0.000006486753,0.00004724324,0.0001043712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001406601,"about_ca_system_score_gemma":0.00001711374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008277994,"about_ca_topic_score_gemma":0.000008008365,"domain_scores_codex":[0.9996349,0.000002868627,0.0001009276,0.00008630818,0.00005364711,0.000121313],"domain_scores_gemma":[0.999809,0.00001850044,0.000004435977,0.00007850851,0.00002930245,0.00006020262],"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":[0.00004212885,0.00001908632,0.0002156261,0.00001432278,0.00004107509,0.000001570227,0.0002630787,0.7346153,0.02842028,0.01911069,0.2130505,0.004206348],"study_design_scores_gemma":[0.0003148612,0.00003316537,0.0001727532,0.000001447031,0.000005232906,0.000003082022,0.000004007953,0.9898649,0.0008226458,0.0008237491,0.007868551,0.00008555101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01389521,0.000178096,0.972748,0.0002478134,0.0002452284,0.0001206604,0.000002420923,0.0003628022,0.01219979],"genre_scores_gemma":[0.9532481,0.00008701705,0.01882774,0.0002540322,0.0002038789,0.00001178875,0.00001039695,0.00001368028,0.02734336],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9539202,"threshold_uncertainty_score":0.5355697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02654957874672483,"score_gpt":0.2172365067559651,"score_spread":0.1906869280092402,"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."}}