{"id":"W2034698637","doi":"10.4018/jdet.2013010101","title":"TSI-Enhanced Pedagogical Agents to Engage Learners in Virtual Worlds","year":2013,"lang":"en","type":"article","venue":"International Journal of Distance Education Technologies","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Northern Alberta Institute of Technology; Athabasca University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Situational ethics; Metaverse; Architecture; Human–computer interaction; Discipline; Situation awareness; Multimedia; Virtual reality; Psychology; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002992681,0.0001189316,0.0001647536,0.0006025409,0.00004136908,0.0002164107,0.001495747,0.00007949344,0.00005665973],"category_scores_gemma":[0.0005601976,0.0001020951,0.0000663686,0.0004045937,0.00003696781,0.001014452,0.0001431287,0.0002744544,0.00009650375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003065114,"about_ca_system_score_gemma":0.0001749697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003351876,"about_ca_topic_score_gemma":0.00002523907,"domain_scores_codex":[0.9984788,0.00005556353,0.0005508523,0.000212792,0.0005345067,0.0001674431],"domain_scores_gemma":[0.998747,0.0000794566,0.0003929236,0.000233763,0.0004919436,0.00005492518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004735735,0.000985387,0.01689888,0.00001583941,0.00008521646,0.00001941592,0.009672768,0.001652498,0.01397672,0.1571455,0.01967355,0.7798269],"study_design_scores_gemma":[0.005555078,0.001662311,0.3962275,0.002732067,0.00002977636,0.0002661846,0.1499508,0.01322871,0.1008566,0.0716522,0.2552394,0.002599361],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5612462,0.0001639008,0.4227917,0.01195843,0.002800569,0.000218772,0.000001348322,0.0001125243,0.0007066486],"genre_scores_gemma":[0.9885229,0.00007216238,0.009850126,0.0002410062,0.00009244634,0.00004421356,0.000001763547,0.000005928365,0.001169492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7772275,"threshold_uncertainty_score":0.4163319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04075996039314757,"score_gpt":0.3450216756879736,"score_spread":0.304261715294826,"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."}}