{"id":"W1986100929","doi":"10.5555/1400549.1400693","title":"Agents with personality and emotional filters for an e-learning environment","year":2008,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Personality; Personality type; Psychology; Learning styles; E learning; Process (computing); Experiential learning; Computer science; Human–computer interaction; Cognitive psychology; Mathematics education; Educational technology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003619191,0.0006244173,0.0003726734,0.0003837406,0.0006428243,0.001524131,0.00044538,0.001208647,0.00419038],"category_scores_gemma":[0.0009844342,0.0002401755,0.0004945561,0.0002719417,0.0006306001,0.001510974,0.0008046493,0.00134732,0.001655243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006058522,"about_ca_system_score_gemma":0.0005669659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008740303,"about_ca_topic_score_gemma":0.001179119,"domain_scores_codex":[0.9997135,0.0001236472,0.00002362839,0.00003010384,0.00007625607,0.00003281857],"domain_scores_gemma":[0.9997302,0.0001159972,0.00003014609,0.00002336161,0.00005281195,0.00004753748],"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":[0.00008819849,0.0001219329,0.00239966,0.001397739,0.00006598471,0.001796491,0.001899276,0.01419265,0.01701724,0.6704333,0.02667479,0.2639127],"study_design_scores_gemma":[0.00004322938,0.0002899355,0.00479496,0.0009450944,0.0001722669,0.005127666,0.00142257,0.06293882,0.004462682,0.2154318,0.7042243,0.000146518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03823195,0.05774776,0.6909987,0.01154009,0.002856024,0.0004412068,0.0001883313,0.001470314,0.1965257],"genre_scores_gemma":[0.4400456,0.0531183,0.3919676,0.001943923,0.0009684394,0.0007495745,0.0003367075,0.0001326591,0.1107372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00419038,"threshold_uncertainty_score":0.01401824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08403696115363592,"score_gpt":0.2841747852745273,"score_spread":0.2001378241208914,"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."}}