{"id":"W1732021382","doi":"10.1109/wescan.1993.270568","title":"Rough sets approach to system modelling and control algorithm acquisition","year":2002,"lang":"en","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"USable; Rough set; Computer science; Set (abstract data type); Decision table; Data mining; Algorithm; State (computer science); Variable (mathematics); Control (management); Control system; Artificial intelligence; Theoretical computer science; Mathematics; Programming language; Engineering","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":[0.00358719,0.001392763,0.002066918,0.003026141,0.0007113714,0.004388528,0.002386909,0.001342732,0.004028443],"category_scores_gemma":[0.008740958,0.0008793339,0.002481485,0.002561889,0.001843518,0.003137464,0.001619735,0.002881582,0.001288351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001871887,"about_ca_system_score_gemma":0.001806681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003358672,"about_ca_topic_score_gemma":0.00288839,"domain_scores_codex":[0.9957301,0.00181335,0.0003053621,0.000417927,0.001574204,0.0001590302],"domain_scores_gemma":[0.996858,0.001901435,0.0002378476,0.0004651933,0.0004878971,0.00004958694],"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":[0.00005238003,0.00004318059,0.0002749757,0.0004619135,0.0002149892,0.0001787383,0.0003122755,0.3942049,0.001095351,0.4778945,0.004322035,0.1209448],"study_design_scores_gemma":[0.00003169997,0.00006849304,0.0001875363,0.0001391289,0.00007140479,0.0001223571,0.00009396532,0.5092618,0.001596581,0.4656808,0.02268506,0.00006105909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000627008,0.0005806665,0.9959456,0.000182404,0.00003386892,0.0000480088,0.00008188377,0.0001965536,0.002303939],"genre_scores_gemma":[0.08928663,0.002824655,0.9017377,0.0001695013,0.0002350938,0.0004918587,0.0005165979,0.0001200699,0.004617942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004388528,"threshold_uncertainty_score":0.01897109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02044848215163659,"score_gpt":0.1890786747162154,"score_spread":0.1686301925645788,"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."}}