{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00544446,0.001764277,0.001454375,0.002312884,0.0004746352,0.001797876,0.0008381975,0.001557112,0.004521106],"category_scores_gemma":[0.007212355,0.000407301,0.00136374,0.001567169,0.0004123104,0.000899644,0.0009209939,0.00102761,0.0007970037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001515718,"about_ca_system_score_gemma":0.001646884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00458026,"about_ca_topic_score_gemma":0.004389787,"domain_scores_codex":[0.9984493,0.000836978,0.00007138738,0.0000804905,0.0003863673,0.0001754299],"domain_scores_gemma":[0.9970475,0.002105792,0.0001085079,0.0001147073,0.000539866,0.00008365863],"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":[0.0002917951,0.0002010137,0.0007567698,0.0002325539,0.0001140899,0.0000276223,0.00003293746,0.9112418,0.0005163358,0.007371733,0.002753879,0.07645933],"study_design_scores_gemma":[0.00003763005,0.0001780348,0.001115189,0.00005456521,0.00003481815,0.00001588853,0.00004543503,0.9945299,0.0005890219,0.001986725,0.001398171,0.00001469522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2344236,0.007715052,0.6621439,0.001868943,0.0004363274,0.0005483862,0.001390648,0.001580759,0.08989231],"genre_scores_gemma":[0.735972,0.002463915,0.2439612,0.0003299217,0.0001181789,0.0008793046,0.002137268,0.001041323,0.01309684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00544446,"threshold_uncertainty_score":0.02879345,"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."}}