{"id":"W7129223137","doi":"10.1109/waie67422.2025.11381101","title":"Modeling Emotional Response to Feedback Based on its Affective Focus in STEM E-learning","year":2025,"lang":"","type":"article","venue":"","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Relevance (law); Focus (optics); Correctness; Affect (linguistics); Negative feedback; Control (management)","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":[0.000997878,0.0003644092,0.0002021443,0.0002774719,0.0001746139,0.0008189463,0.0002965155,0.0004687497,0.001272026],"category_scores_gemma":[0.003435147,0.0001618307,0.0003391655,0.0001348057,0.0003036003,0.0005267489,0.0003758846,0.000375243,0.0002234202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004808345,"about_ca_system_score_gemma":0.000250828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002291181,"about_ca_topic_score_gemma":0.001894232,"domain_scores_codex":[0.9996061,0.0002250452,0.00001705293,0.00006321087,0.0000500893,0.00003862968],"domain_scores_gemma":[0.9985072,0.001193485,0.00009230815,0.00004225457,0.0001195292,0.00004530181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001608948,0.001151961,0.07507324,0.0004760401,0.0001219575,0.0004470633,0.003787813,0.7085048,0.07375294,0.004976491,0.0008671418,0.1292317],"study_design_scores_gemma":[0.00001823913,0.0003011641,0.01668501,0.00001563266,0.00003023127,0.00004362217,0.0002113309,0.9766129,0.004418506,0.001229219,0.0004154275,0.00001872036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8590261,0.0001531892,0.1375276,0.0001157921,0.00002488652,0.0001317518,0.00006242404,0.0001520095,0.002806268],"genre_scores_gemma":[0.9919794,0.00004498334,0.007244405,0.0000133688,0.000004051768,0.00005664268,0.00002657687,0.000007216268,0.0006234549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002291181,"threshold_uncertainty_score":0.005277336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03233934470308486,"score_gpt":0.2792647522402454,"score_spread":0.2469254075371605,"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."}}