{"id":"W85857222","doi":"10.1109/fuzz-ieee.2016.7737908","title":"A fuzzy computational model for emotion regulation based on Affect Control Theory","year":2016,"lang":"en","type":"article","venue":"","topic":"Emotions and Moral Behavior","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Affect (linguistics); Cognitive psychology; Computer science; Affective computing; Perspective (graphical); Process (computing); Kernel (algebra); Fuzzy logic; Meaning (existential); Control (management); Automaton; Dynamics (music); Appraisal theory; Space (punctuation); Psychology; Artificial intelligence; Social psychology; Mathematics; Communication","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":[0.0005058785,0.0004957868,0.0006515479,0.0005009713,0.0007165843,0.00168304,0.001177452,0.0009047433,0.004389391],"category_scores_gemma":[0.001121941,0.0002103304,0.0009949612,0.0003817864,0.00105829,0.001345941,0.0005956996,0.001055248,0.0004979164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009991637,"about_ca_system_score_gemma":0.0009010127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005758436,"about_ca_topic_score_gemma":0.003319879,"domain_scores_codex":[0.9996582,0.00009802743,0.00002119953,0.00008330619,0.0001051981,0.00003395092],"domain_scores_gemma":[0.9996879,0.0001741657,0.00002845726,0.00002700628,0.00006328639,0.00001912992],"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":[0.00007947877,0.00008477909,0.0009451043,0.0001351715,0.00008094184,0.0003358721,0.0005887906,0.392631,0.00544545,0.5727193,0.001375762,0.02557834],"study_design_scores_gemma":[0.00002251256,0.00003934443,0.0002530199,0.00001849584,0.0000246151,0.00005923836,0.00004342722,0.9255759,0.0004846625,0.07042687,0.003035726,0.00001613401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0191297,0.0003482831,0.9594312,0.0005987287,0.0001085708,0.00008954153,0.0001267167,0.0001973437,0.01996996],"genre_scores_gemma":[0.8027256,0.0005693916,0.1850927,0.0002304439,0.0001257356,0.0005713451,0.0001476579,0.00004400569,0.01049324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005758436,"threshold_uncertainty_score":0.01468402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03902645129572425,"score_gpt":0.3325489914145648,"score_spread":0.2935225401188406,"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."}}