{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008148323,0.0004749168,0.0005555679,0.0003138832,0.0002223059,0.0004716471,0.0004080515,0.000483015,0.0006827784],"category_scores_gemma":[0.001174888,0.0002141692,0.000356508,0.0002155773,0.0003685037,0.0004196025,0.0003717671,0.000352631,0.0000788012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003476542,"about_ca_system_score_gemma":0.0003089563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002019114,"about_ca_topic_score_gemma":0.0007219366,"domain_scores_codex":[0.9995166,0.0001429798,0.00001850676,0.00009847648,0.0001654689,0.00005802731],"domain_scores_gemma":[0.9996793,0.0001730149,0.00004536079,0.00001478495,0.00007269041,0.0000147539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001930472,0.00008091224,0.0009073177,0.0001522094,0.00004031325,0.00008536587,0.00009032078,0.8992648,0.03998205,0.004839683,0.0002353016,0.05412873],"study_design_scores_gemma":[0.000006468882,0.00007423571,0.0005351987,0.000002637558,0.000006123143,0.00000874836,0.00001338694,0.9957236,0.003078277,0.0004312093,0.0001149753,0.000005136924],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2070484,0.0004411275,0.7864696,0.0001571003,0.00002535893,0.00006286939,0.00001674142,0.0001458837,0.005632855],"genre_scores_gemma":[0.9890121,0.00008306114,0.01008951,0.00001197614,0.000003948818,0.00003197565,0.000007591276,0.000009624355,0.0007501949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002019114,"threshold_uncertainty_score":0.004309237,"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."}}