{"id":"W2119969301","doi":"10.1002/eqe.2551","title":"Development of high‐performance shake tables using the hierarchical control strategy and nonlinear control techniques","year":2015,"lang":"en","type":"article","venue":"Earthquake Engineering & Structural Dynamics","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Council","keywords":"Shake; Nonlinear system; Earthquake shaking table; Control (management); Engineering; Computer science; Structural engineering; Physics; Artificial intelligence; Mechanical engineering","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":[0.0002747964,0.0002627639,0.0003827,0.00007608474,0.00007023421,0.00004723191,0.0001776094,0.0001148614,0.000004681473],"category_scores_gemma":[0.0000297212,0.0001962518,0.00003460959,0.0001426861,0.00005994497,0.0001318318,0.00002484991,0.0002560899,0.000001327532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008189779,"about_ca_system_score_gemma":0.00006022354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003655033,"about_ca_topic_score_gemma":0.00003580928,"domain_scores_codex":[0.9987713,0.00002282787,0.0004808613,0.0001526697,0.0002476116,0.0003247312],"domain_scores_gemma":[0.9994625,0.00008175696,0.00006356573,0.0002092597,0.00006236802,0.0001205101],"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":[0.00002048835,0.000004362663,0.001161741,0.000276069,0.0001568916,0.000004680822,0.0007390283,0.7284869,0.0009060118,0.0009267598,0.000006405094,0.2673106],"study_design_scores_gemma":[0.0004988437,0.00003322364,0.05619589,0.00008648078,0.00002090172,0.00006769865,0.00007477726,0.9421741,0.0002276957,0.00002353317,0.000366478,0.0002303572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8929359,0.0001965875,0.1059945,0.00001318568,0.00027085,0.0002722555,0.00004926619,0.0002014312,0.00006599695],"genre_scores_gemma":[0.9810551,0.000009458546,0.01871579,0.000008927903,0.0001212834,0.00001344883,0.0000201554,0.00004274866,0.00001303336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2670803,"threshold_uncertainty_score":0.8002916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009939296876716757,"score_gpt":0.205370228332909,"score_spread":0.1954309314561923,"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."}}