{"id":"W2016911777","doi":"10.1115/imece2008-68061","title":"A Hybrid PD-Fuzzy Controller for Atomic Force Microscopes","year":2008,"lang":"en","type":"article","venue":"Volume 13: Nano-Manufacturing Technology; and Micro and Nano Systems, Parts A and B","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fuzzy logic; Control theory (sociology); Fuzzy control system; Atomic force microscopy; Controller (irrigation); Bandwidth (computing); Computer science; Bounded function; Control engineering; Engineering; Mathematics; Artificial intelligence; Control (management); Materials science; Nanotechnology","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":[0.0003110577,0.0003972455,0.0003522912,0.0002309696,0.0003682895,0.0005427579,0.0009433366,0.0009193784,0.001644351],"category_scores_gemma":[0.0005847979,0.0001616734,0.000244018,0.0001272978,0.0002642308,0.0003439928,0.0003822675,0.0005951115,0.0004094763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000290977,"about_ca_system_score_gemma":0.0003371358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001283908,"about_ca_topic_score_gemma":0.001403599,"domain_scores_codex":[0.9996753,0.00003346494,0.00001798037,0.00007264306,0.0001787572,0.0000218838],"domain_scores_gemma":[0.999798,0.00007072569,0.00001757963,0.00001957902,0.00007937326,0.00001480632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006381338,0.0002736398,0.0007794775,0.0005125753,0.0001040522,0.0005437285,0.0002511496,0.1963932,0.3000945,0.01490873,0.00444922,0.4810516],"study_design_scores_gemma":[0.0001221702,0.0005527924,0.0006494584,0.00002704103,0.00002894538,0.0002871428,0.00002470376,0.9394668,0.04557273,0.002553024,0.0106737,0.00004147476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01885274,0.0004349473,0.97476,0.0001289575,0.0001610934,0.00009439428,0.00003318551,0.0009699595,0.004564751],"genre_scores_gemma":[0.7318945,0.0002483863,0.259396,0.0002253157,0.00007268105,0.0002810185,0.0000594215,0.00003639847,0.007786359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001644351,"threshold_uncertainty_score":0.005500853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007799727931328615,"score_gpt":0.2254265287330265,"score_spread":0.2176268008016979,"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."}}