{"id":"W1513997917","doi":"10.1109/sysose.2015.7151964","title":"Systems modeling and intelligent control of meat drying process","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"PID controller; Relative humidity; Control theory (sociology); Control system; Nonlinear system; Temperature control; Fuzzy control system; Controller (irrigation); Process (computing); Coupling (piping); Intelligent control; Control engineering; Process control; Computer science; Fuzzy logic; Control (management); Engineering; Artificial intelligence; Mechanical engineering; Thermodynamics; Physics","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":[0.0003188876,0.0005386996,0.00060836,0.0002593001,0.0003475827,0.0008374777,0.0006443565,0.0006339641,0.001322427],"category_scores_gemma":[0.000487027,0.0002289481,0.0005045347,0.0002562531,0.0003975438,0.0005654242,0.000407054,0.0005722541,0.0002884835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004407195,"about_ca_system_score_gemma":0.0005677955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007777611,"about_ca_topic_score_gemma":0.004531257,"domain_scores_codex":[0.9997721,0.00004899515,0.00001200632,0.00005787317,0.00008787385,0.00002113773],"domain_scores_gemma":[0.9998764,0.00003968435,0.00002882295,0.00001117527,0.00003918627,0.000004708048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003202262,0.00002046206,0.0003229403,0.00009713389,0.00002268973,0.00006827435,0.00006739732,0.9628357,0.0082876,0.01168987,0.0003806876,0.01617517],"study_design_scores_gemma":[0.000003219188,0.00001440608,0.0001732034,0.000003264561,0.000004638731,0.000009808849,0.000004546564,0.9971194,0.0006292207,0.001236738,0.0007978175,0.000003799097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02079171,0.0006414209,0.969068,0.0001626771,0.00006947657,0.00003577872,0.00006271946,0.0004821605,0.008686109],"genre_scores_gemma":[0.9330776,0.0009482978,0.05740571,0.0000588379,0.00005357967,0.0001395487,0.0001674407,0.00004969517,0.008099251],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007777611,"threshold_uncertainty_score":0.01546466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01977744153585584,"score_gpt":0.2311927537166419,"score_spread":0.2114153121807861,"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."}}