{"id":"W197955839","doi":"","title":"Incorporating an Affective Behavior Model into an Educational Game","year":2009,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Educational game; Affect (linguistics); Computer science; Component (thermodynamics); Intelligent tutoring system; Affective computing; Human–computer interaction; Game based learning; Artificial intelligence; Multimedia; 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":[0.003747573,0.0001590839,0.0001476695,0.00006377345,0.001133982,0.0005700809,0.001479774,0.0000883496,0.000009239266],"category_scores_gemma":[0.0001100111,0.0001184253,0.0001245008,0.0005801418,0.0001503254,0.001322699,0.0002424919,0.001001764,0.00004921538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003170084,"about_ca_system_score_gemma":0.0005102191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003287155,"about_ca_topic_score_gemma":0.00001627212,"domain_scores_codex":[0.9971491,0.0005592749,0.0002126553,0.0005215788,0.001019115,0.0005382755],"domain_scores_gemma":[0.9980683,0.0002277934,0.00007600693,0.0007766717,0.000650645,0.0002005442],"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":[0.00001157099,0.0003379931,0.0008806693,0.00001440284,0.00002397685,0.00000536219,0.04796176,0.01654595,0.01780172,0.8906943,0.001801169,0.02392108],"study_design_scores_gemma":[0.0001979793,0.0006930463,0.008251937,0.00005351838,0.000006133984,0.0000142325,0.002311813,0.9016347,0.002715807,0.08275203,0.001033982,0.0003348067],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6275092,0.00008851068,0.3645529,0.005670835,0.0004347446,0.0006972393,0.000002283326,0.0002011833,0.0008430564],"genre_scores_gemma":[0.9804709,0.000004217692,0.01563133,0.0003608053,0.001023476,0.00009233141,0.000006662772,0.00001366423,0.002396596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8850887,"threshold_uncertainty_score":0.872179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08394541589574217,"score_gpt":0.4139218161868768,"score_spread":0.3299764002911346,"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."}}