{"id":"W4399448652","doi":"","title":"Affective AIED: From Detection to Adaptation","year":2009,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Adaptation (eye); Computer science; Artificial intelligence; Cognitive psychology; Computer vision; Speech recognition; Psychology; Neuroscience","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":[0.001893784,0.001216901,0.001364713,0.0009450129,0.0004959995,0.002829011,0.001878183,0.001662783,0.007447593],"category_scores_gemma":[0.008805014,0.0004835016,0.0005108847,0.0006807765,0.0008004729,0.002601679,0.002426826,0.002101178,0.002703875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006739024,"about_ca_system_score_gemma":0.0004711568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002704176,"about_ca_topic_score_gemma":0.002096813,"domain_scores_codex":[0.9985955,0.0004611622,0.00005348563,0.0004568553,0.0002613027,0.0001716529],"domain_scores_gemma":[0.996949,0.001638217,0.0001059059,0.000485431,0.0006597899,0.0001615756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009690374,0.00040097,0.003697453,0.0002577608,0.0001339415,0.0003079496,0.0002336734,0.03406372,0.02345186,0.006424223,0.0190611,0.9109984],"study_design_scores_gemma":[0.00003081394,0.0001442247,0.004124017,0.00005682211,0.0000634805,0.0001636448,0.0001576245,0.9531955,0.01478481,0.02083875,0.006391796,0.00004859066],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04928627,0.003191278,0.9126601,0.002382849,0.001556695,0.0002295668,0.0008672617,0.009321333,0.02050477],"genre_scores_gemma":[0.8049015,0.0009721597,0.1706358,0.001409506,0.0006224884,0.0001843313,0.001002917,0.0007967505,0.01947442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007447593,"threshold_uncertainty_score":0.02491468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01515921205131539,"score_gpt":0.2310052695358141,"score_spread":0.2158460574844987,"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."}}