{"id":"W4296349381","doi":"10.1080/07373937.2022.2119996","title":"An adaptive fuzzy logic controller for intelligent drying","year":2022,"lang":"en","type":"article","venue":"Drying Technology","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Fuzzy logic; Neuro-fuzzy; Computer science; Adaptive neuro fuzzy inference system; Fuzzy control system; Controller (irrigation); Defuzzification; Artificial intelligence; Control engineering; Fuzzy clustering; Fuzzy set operations; Control theory (sociology); Fuzzy number; Data mining; Engineering; Fuzzy set; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007556626,0.0002272261,0.0003258346,0.0003688944,0.0002475624,0.00001229439,0.000680008,0.0002339397,0.00003277754],"category_scores_gemma":[0.0001412261,0.0002459789,0.00007789245,0.0005112365,0.0001470688,0.0000738153,0.0002209845,0.0006305445,0.00001213221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003260178,"about_ca_system_score_gemma":0.000004093163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001941701,"about_ca_topic_score_gemma":0.000001570758,"domain_scores_codex":[0.9986739,0.0000122056,0.0002753786,0.0003711212,0.0001238446,0.0005435316],"domain_scores_gemma":[0.9993205,0.0001023781,0.00005950817,0.0004346871,0.00004275297,0.00004015796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009211239,0.00007664492,0.0001083127,0.0000273158,0.00009670674,0.0000277433,0.00009297628,0.09528656,0.6794528,0.0943473,0.000376011,0.1300155],"study_design_scores_gemma":[0.0008268405,0.0006226532,0.000004046967,0.00001071965,0.00002866174,0.0000482012,0.0031918,0.05539435,0.5460003,0.3667202,0.0265764,0.0005758681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6624616,0.002687991,0.3084062,0.001453672,0.0007565856,0.001583464,0.0001042148,0.02074893,0.001797326],"genre_scores_gemma":[0.9777421,0.00003461596,0.02119418,0.00009462016,0.00003330722,0.0007887143,0.00001296354,0.000066928,0.00003251235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3152806,"threshold_uncertainty_score":0.9999992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992764446292138,"score_gpt":0.2546799652329473,"score_spread":0.2347523207700259,"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."}}