{"id":"W164029134","doi":"10.1007/978-3-642-14363-2_17","title":"Managing Learner’s Affective States in Intelligent Tutoring Systems","year":2010,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Memorization; Perception; Subliminal stimuli; Psychology; Narrative; Point (geometry); Cognitive psychology; Cognition; Cognitive science; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00145852,0.0007729454,0.001058529,0.001142756,0.0002471765,0.0002779313,0.0013351,0.0003415661,0.0000207629],"category_scores_gemma":[0.0002298871,0.0007865572,0.0002062198,0.0003285516,0.0003225138,0.0004246854,0.001000841,0.002110699,0.0002799932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057089,"about_ca_system_score_gemma":0.0001748966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002918311,"about_ca_topic_score_gemma":0.0002125829,"domain_scores_codex":[0.9954203,0.0001500538,0.00141127,0.001384957,0.0009195136,0.0007138866],"domain_scores_gemma":[0.9962279,0.001860074,0.0006006687,0.00058714,0.0006138174,0.0001104126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007021621,0.00002227226,0.00008127216,0.0001867694,0.0001009142,0.0002164911,0.003748518,0.4184651,0.00000260601,0.5659242,0.0000273982,0.01121745],"study_design_scores_gemma":[0.0002237273,0.0003236474,0.00009822755,0.008622603,0.00002960044,0.0001485932,0.003848995,0.2986535,0.0002725072,0.5951712,0.09034333,0.002264062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0001615232,0.01445158,0.9109226,0.0003276131,0.008349384,0.001198711,0.00001105013,0.0002872275,0.06429026],"genre_scores_gemma":[0.4561165,0.01118648,0.03735368,0.0003372939,0.002267534,0.0004885017,0.0000792622,0.0003902438,0.4917805],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.873569,"threshold_uncertainty_score":0.9994586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0740134897850384,"score_gpt":0.3327881523765243,"score_spread":0.2587746625914859,"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."}}