{"id":"W2067584268","doi":"10.4028/www.scientific.net/amm.52-54.647","title":"Optimization Research of Multi-Point Response Control under Multi-Support Excitation in Vibration Test","year":2011,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association of Emergency Physicians","funders":"","keywords":"Vibration; Uniqueness; Control theory (sociology); Excitation; Set (abstract data type); Point (geometry); Vibration control; Genetic algorithm; Base (topology); Engineering; Control (management); Mathematics; Computer science; Mathematical optimization; Mathematical analysis; Physics; Geometry; Artificial intelligence; Acoustics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001222631,0.00009819661,0.0001717836,0.0001634311,0.00002739073,0.00001812763,0.0000540753,0.0001351086,0.00004302942],"category_scores_gemma":[0.0001393577,0.0001014225,0.00001076838,0.000162765,0.00001200929,0.00007385841,0.00001883634,0.00007006499,0.000003935222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003589785,"about_ca_system_score_gemma":0.00001370799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002176937,"about_ca_topic_score_gemma":0.000009162679,"domain_scores_codex":[0.999233,0.00004956598,0.0003242842,0.0001261041,0.0001024001,0.0001646627],"domain_scores_gemma":[0.9996209,0.0001070321,0.0000376455,0.0001296033,0.00006484575,0.00004003495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001311419,0.00008057834,0.000001622055,0.0000939044,0.000006794206,6.312084e-7,0.0006327505,0.2444715,0.7283973,0.02598107,0.000004055158,0.0001987078],"study_design_scores_gemma":[0.002142713,0.0001671555,0.001571126,0.00004497611,0.00001343821,0.000001679076,0.0005044774,0.8517539,0.1376195,0.005933836,0.00001120096,0.0002360004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07995898,0.00001277599,0.9193768,0.0000104328,0.00009190586,0.0003931551,0.00001726327,0.00009337126,0.00004533488],"genre_scores_gemma":[0.9776248,0.00006043797,0.02214731,0.00000947116,0.000008399095,0.00009449042,0.0000225739,0.00002674742,0.000005737974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8976659,"threshold_uncertainty_score":0.413589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05079657762132109,"score_gpt":0.2640860163369122,"score_spread":0.2132894387155911,"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."}}