{"id":"W1752779506","doi":"10.1109/robot.1995.525400","title":"Scaling laws for frequency domain controllers of dynamically equivalent single flexible link manipulators","year":2002,"lang":"en","type":"article","venue":"","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Scaling; Scaling law; Link (geometry); Frequency domain; Computer science; Dynamic scaling; Domain (mathematical analysis); Linear system; Control (management); Mathematics; Mathematical analysis; Artificial intelligence","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":[0.0003686965,0.0004005826,0.0002276119,0.0004279558,0.0003014231,0.0007443967,0.000360862,0.0003224451,0.003068442],"category_scores_gemma":[0.002248263,0.0001454067,0.0001789464,0.0001835329,0.0008271829,0.0008783658,0.000342242,0.0005389146,0.0004435562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003836643,"about_ca_system_score_gemma":0.000195794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002850667,"about_ca_topic_score_gemma":0.000206164,"domain_scores_codex":[0.9996755,0.00004589746,0.00001830384,0.00006325941,0.0001663979,0.00003064398],"domain_scores_gemma":[0.9995041,0.0001353847,0.0001567571,0.00005659743,0.0001168245,0.00003034051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001169036,0.0001178449,0.001118948,0.0001142785,0.00001993708,0.0002385907,0.0007032703,0.1475205,0.0743001,0.6324106,0.001965777,0.1413733],"study_design_scores_gemma":[0.00005805246,0.0003712609,0.001169498,0.00003795399,0.00001184211,0.0002693336,0.0001508622,0.7330043,0.01428845,0.2433214,0.007275042,0.00004195874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1508859,0.0005028333,0.8249162,0.0001655511,0.00008413842,0.0001322375,0.0000670478,0.0004815668,0.02276457],"genre_scores_gemma":[0.927142,0.0003218768,0.0683103,0.00006839771,0.00004798521,0.0002415522,0.00007402753,0.00006144506,0.003732445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003068442,"threshold_uncertainty_score":0.01026499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02096656626117867,"score_gpt":0.2036827414925768,"score_spread":0.1827161752313982,"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."}}