{"id":"W4410941391","doi":"10.1007/978-3-031-92578-8_9","title":"A Psychophysiological Study of the Relation Between Emotions and Learning with a Serious Game","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Relation (database); Human–computer interaction; Artificial intelligence; Cognitive science; Psychology; Data mining","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":[0.0001909861,0.0002659157,0.0002161146,0.0001575893,0.0002925611,0.0005303285,0.0005135339,0.0004016137,0.003296332],"category_scores_gemma":[0.00151299,0.0001723949,0.0002294551,0.00014679,0.0004996586,0.0003631674,0.0004398899,0.0008034012,0.0001514749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002049807,"about_ca_system_score_gemma":0.0001982813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001483929,"about_ca_topic_score_gemma":0.001287886,"domain_scores_codex":[0.9999074,0.0000297508,0.000003781211,0.0000206779,0.00002586459,0.00001252314],"domain_scores_gemma":[0.9992761,0.0005879532,0.00003077398,0.00002398834,0.00002061963,0.00006058615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.008619122,0.0057326,0.01344718,0.0004554428,0.0001770097,0.00155801,0.00425077,0.002618207,0.8719546,0.0150947,0.0020689,0.07402349],"study_design_scores_gemma":[0.001682323,0.03413608,0.6232252,0.0001192814,0.0002802359,0.005724606,0.006704794,0.07525154,0.1978922,0.0378984,0.01692075,0.0001646506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890994,0.0002491832,0.003503374,0.0001233719,0.00003506118,0.00006286461,0.00006215972,0.00002392611,0.006840746],"genre_scores_gemma":[0.9941093,0.0001495737,0.001979978,0.00007442928,0.000009997065,0.00004196353,0.00003370616,0.00001052094,0.003590601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003296332,"threshold_uncertainty_score":0.0110274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0277703543986949,"score_gpt":0.2754725655631977,"score_spread":0.2477022111645028,"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."}}