{"id":"W2143754705","doi":"10.1109/icma.2005.1626540","title":"Adaptive regulation of the flying height for a 2-DOF tripad slider in hard disk drives","year":2006,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Slider; Parameterized complexity; Control theory (sociology); Controller (irrigation); Flying height; Computer science; Set (abstract data type); Adaptive control; Hard disk drive performance characteristics; Function (biology); Stability (learning theory); Vibration; Engineering; Control (management); Physics; Algorithm; 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":[0.0001311304,0.0002081461,0.0001566034,0.0001082408,0.0001930062,0.0002520771,0.0003017851,0.0002042982,0.0004602017],"category_scores_gemma":[0.0004502293,0.0001004324,0.0001231277,0.00006692604,0.0002723755,0.0001634987,0.0002229268,0.0001825199,0.00008895012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001728533,"about_ca_system_score_gemma":0.0001461414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001795994,"about_ca_topic_score_gemma":0.001787008,"domain_scores_codex":[0.9999366,0.00001129175,0.000003358789,0.00001705834,0.0000229404,0.000008898041],"domain_scores_gemma":[0.9998853,0.00004881214,0.00002569681,0.00001135198,0.00002128651,0.000007371147],"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":[0.0002369425,0.00006863505,0.002255781,0.0001520843,0.00003850488,0.000288086,0.0003701455,0.6091653,0.2679806,0.004439055,0.0006790177,0.1143259],"study_design_scores_gemma":[0.00001524436,0.0001699309,0.001149435,0.000004350177,0.000007777433,0.00004836891,0.00002418408,0.9865021,0.01102179,0.0004521593,0.0005923377,0.00001234074],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.398916,0.0002466701,0.5963736,0.0001023934,0.00004249888,0.00005568479,0.00003125484,0.0004095861,0.003822316],"genre_scores_gemma":[0.9917345,0.00004956929,0.007666332,0.000009841109,0.000006337769,0.00001568897,0.00000751856,0.000004329062,0.000505914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001795994,"threshold_uncertainty_score":0.003571093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0083842247590641,"score_gpt":0.1927831194952394,"score_spread":0.1843988947361753,"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."}}