{"id":"W2056100961","doi":"10.1080/13873950903139585","title":"Anger evaluation for fuzzy agents with dynamic personality","year":2009,"lang":"en","type":"article","venue":"Mathematical and Computer Modelling of Dynamical Systems","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Anger; Fuzzy logic; Personality; Computer science; Psychology; Mathematics; Artificial intelligence; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006437702,0.0001716913,0.0003560076,0.00005616541,0.00008158211,0.0001374964,0.0003692349,0.00008055107,0.000002836894],"category_scores_gemma":[0.00001244004,0.0001248805,0.00007674102,0.0001300688,0.00007646361,0.0001949795,0.00005492212,0.00008353167,0.000004659646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004521669,"about_ca_system_score_gemma":0.0000276235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001150239,"about_ca_topic_score_gemma":0.000001108775,"domain_scores_codex":[0.9983121,0.00007900372,0.0004570729,0.0003986225,0.000501584,0.0002516413],"domain_scores_gemma":[0.9989821,0.0002181118,0.0001405521,0.0003204122,0.0002324523,0.0001063623],"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":[0.00004615703,0.0004498651,0.00005024723,0.0004017536,0.00006506565,0.000003482808,0.00159665,0.2592289,0.00007677521,0.6849831,0.00004712451,0.05305082],"study_design_scores_gemma":[0.000133173,0.0002577172,0.00007456363,0.0001598863,0.00002163658,0.00001624504,0.00001910329,0.8498247,0.00001682098,0.1493309,0.000007474965,0.000137786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1536258,0.00008681422,0.8451183,0.0002488886,0.00008590379,0.0005551357,0.000003292532,0.0000608999,0.0002149069],"genre_scores_gemma":[0.8480412,0.000002339779,0.1518098,0.00004235666,0.00004056356,0.00002796558,0.000003379822,0.000006701182,0.00002578543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6944153,"threshold_uncertainty_score":0.509248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07524871275300421,"score_gpt":0.3021083112189256,"score_spread":0.2268595984659214,"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."}}