{"id":"W2585238059","doi":"10.4018/978-1-5225-0454-2","title":"Integrating Cognitive Architectures into Virtual Character Design","year":2016,"lang":"en","type":"book","venue":"Advances in computational intelligence and robotics book series","topic":"Human Motion and Animation","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Character (mathematics); Computer science; Cognition; Human–computer interaction; Cognitive science; Psychology; Mathematics; Neuroscience","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":[0.000126789,0.0006147763,0.0001693983,0.0002650751,0.0002201529,0.001160365,0.0006037767,0.000387023,0.009061373],"category_scores_gemma":[0.0005195563,0.0002247689,0.0002448455,0.0002329223,0.0006636325,0.0009652601,0.0008495803,0.000664396,0.001369725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004654384,"about_ca_system_score_gemma":0.0003677256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001137898,"about_ca_topic_score_gemma":0.00183836,"domain_scores_codex":[0.999929,0.00001334443,0.000002831377,0.00001354659,0.00003301364,0.000008254031],"domain_scores_gemma":[0.9999137,0.00003429979,0.000005617547,0.00001447731,0.00002193222,0.00001000205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004002195,0.00003907986,0.0002324555,0.0003496652,0.00003356029,0.00008910263,0.0003112435,0.1100073,0.01737762,0.2886471,0.01474934,0.5681236],"study_design_scores_gemma":[0.00002051893,0.00009946461,0.0006517592,0.0002277892,0.00003392621,0.0002441667,0.0002012348,0.3178698,0.01100871,0.4044024,0.2652034,0.00003675635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01624792,0.00397971,0.7799471,0.0006916227,0.0002967978,0.00005306935,0.00007345541,0.001132451,0.1975778],"genre_scores_gemma":[0.4300935,0.006866323,0.4329265,0.0001876264,0.0001439733,0.000173769,0.0002403936,0.0003295777,0.1290383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009061373,"threshold_uncertainty_score":0.03031331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01745384657092579,"score_gpt":0.2643667477508171,"score_spread":0.2469129011798913,"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."}}