{"id":"W2107153080","doi":"10.1109/imtc.1998.676845","title":"Sensor resolution effect on fuzzy logic controller behaviour","year":2002,"lang":"en","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Dither; Trailer; Fuzzy logic; Control theory (sociology); Quantization (signal processing); Computer science; Resolution (logic); Control engineering; Mathematics; Engineering; Algorithm; Artificial intelligence; Computer vision; Noise shaping; Control (management)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009083309,0.0004231236,0.0004391109,0.0003564741,0.0003933475,0.0007025801,0.0004134794,0.0006804298,0.002928958],"category_scores_gemma":[0.01222172,0.0004324498,0.0003473074,0.0001916309,0.0004791912,0.0008415122,0.0004384144,0.00114119,0.0003404853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004198736,"about_ca_system_score_gemma":0.0001833012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007294529,"about_ca_topic_score_gemma":0.0004482167,"domain_scores_codex":[0.9988906,0.0001953315,0.000070284,0.0001447493,0.0005249105,0.0001742239],"domain_scores_gemma":[0.9913483,0.006910378,0.0005025211,0.0005735915,0.0005611404,0.000104116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002634123,0.0002699342,0.003648277,0.0007081288,0.0001489578,0.001672592,0.001539901,0.2094172,0.6737983,0.007536552,0.0005812141,0.09804494],"study_design_scores_gemma":[0.000110131,0.001109219,0.01180444,0.00006022467,0.0001416716,0.001419179,0.0002170498,0.3369236,0.6424264,0.002744696,0.002909338,0.000134044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7625982,0.0008054767,0.222383,0.0003515511,0.0001324254,0.00008174573,0.00007831051,0.001644047,0.01192533],"genre_scores_gemma":[0.9935756,0.00008032603,0.00553748,0.00005774443,0.0000105864,0.000007950426,0.00001622422,0.00007218157,0.0006419087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002928958,"threshold_uncertainty_score":0.009798408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01998945826916986,"score_gpt":0.2210976624012976,"score_spread":0.2011082041321278,"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."}}