{"id":"W1923523256","doi":"","title":"Comparison of Objective Functions for Engine Mounts Optimization #89","year":2000,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Vehicle Noise and Vibration Control","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Suspension (topology); Noise (video); Vibration; Automotive engineering; Engineering; Computer science; Acoustics; Physics; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00002750822,0.00007130646,0.0001170701,0.00009281438,0.00005951365,0.00001386937,0.00004782132,0.0000678389,0.0004273528],"category_scores_gemma":[0.00002256015,0.00008514391,0.00002852917,0.0001207409,0.00001174665,0.00006278755,9.275356e-7,0.00005627048,0.00001686122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001093238,"about_ca_system_score_gemma":0.00008857869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006108498,"about_ca_topic_score_gemma":0.001815869,"domain_scores_codex":[0.9995742,0.000004354314,0.0001486509,0.00006698137,0.00004807761,0.0001577405],"domain_scores_gemma":[0.9996501,0.00003640795,0.00001360605,0.00009381017,0.00007762974,0.0001284288],"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":[0.000003741924,0.000006037146,0.0001591714,0.00001613158,0.00002264614,2.54476e-7,0.0001086636,0.9858237,0.0008342668,0.00003112878,0.005889765,0.007104496],"study_design_scores_gemma":[0.0002494296,0.00002899744,0.001114461,0.000006286289,0.00003564001,4.961519e-7,0.00007905631,0.994822,0.000275737,0.00001212916,0.003290706,0.00008508514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04377079,0.0001518574,0.9474993,0.00007149227,0.0003450638,0.0003429909,0.0005263689,0.0001005178,0.007191597],"genre_scores_gemma":[0.9958808,0.0000126859,0.003339803,0.00005650243,0.0001182418,0.00002219346,0.00008878503,0.00002050366,0.000460424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9521101,"threshold_uncertainty_score":0.4679214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084775552064213,"score_gpt":0.2350972819960638,"score_spread":0.2242495264754217,"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."}}