{"id":"W1790538828","doi":"10.1007/978-3-642-02247-0_38","title":"Detecting Guessed and Random Learners’ Answers through Their Brainwaves","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Test (biology); Artificial intelligence; Machine learning; Human–computer interaction","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":[0.00105808,0.0003303139,0.0003591205,0.0007120082,0.0001532016,0.0008984306,0.0002495942,0.0006390997,0.002549289],"category_scores_gemma":[0.01089661,0.0001714991,0.0001957243,0.0004004753,0.0002726047,0.0007442452,0.0005694482,0.000501749,0.001124744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001165383,"about_ca_system_score_gemma":0.0001746181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004147593,"about_ca_topic_score_gemma":0.000633615,"domain_scores_codex":[0.999356,0.0001731859,0.00004741612,0.0001526783,0.0001889108,0.00008180489],"domain_scores_gemma":[0.9939971,0.004438179,0.0004527847,0.0002556463,0.0005417129,0.0003145652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004624303,0.0004814211,0.3002172,0.0002475766,0.0003521538,0.0004427697,0.001566664,0.004398999,0.172903,0.001166392,0.002108451,0.5114912],"study_design_scores_gemma":[0.0002561854,0.001875309,0.7002297,0.0001029937,0.000354024,0.002629305,0.001887015,0.1832474,0.1013717,0.004471695,0.003429622,0.0001451179],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806317,0.0002247179,0.01603837,0.00006248039,0.0000466009,0.00005055248,0.0002646165,0.000160286,0.00252063],"genre_scores_gemma":[0.990339,0.0001597307,0.007335706,0.00004278284,0.00002996909,0.00003083328,0.0003356675,0.00005057557,0.001675673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002549289,"threshold_uncertainty_score":0.008528233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280033295911491,"score_gpt":0.2427141826980997,"score_spread":0.2199138497389848,"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."}}