{"id":"W3171195166","doi":"","title":"Automated Disengagement Tracking within an Intelligent Tutoring System.","year":2021,"lang":"en","type":"article","venue":"Grantee Submission","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Disengagement theory; Reading comprehension; Computer science; Intelligent tutoring system; Reading (process); Conversation; Comprehension; Sentence; Tracking (education); Artificial intelligence; Chatbot; Psychology; Literacy; Natural language processing; Cognitive psychology; Mathematics education; Human–computer interaction; Pedagogy; Linguistics; Communication","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":[0.0007764184,0.0004683084,0.0005182193,0.0005878303,0.0002159261,0.0006911356,0.0005680621,0.0004851089,0.001346816],"category_scores_gemma":[0.003760448,0.0002006576,0.0002250086,0.0002122862,0.0001514046,0.0006873515,0.0005027834,0.0003400556,0.0007500058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003351242,"about_ca_system_score_gemma":0.0004852048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002127007,"about_ca_topic_score_gemma":0.00297139,"domain_scores_codex":[0.999057,0.000237862,0.00007353653,0.0002945467,0.0002881648,0.0000489057],"domain_scores_gemma":[0.99765,0.001181621,0.0002846347,0.0002341122,0.0004866056,0.0001630758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001018794,0.000631719,0.05108111,0.0002238248,0.0001731495,0.0002261302,0.0006785514,0.008543132,0.1248433,0.0005253169,0.004043034,0.8080119],"study_design_scores_gemma":[0.0002554018,0.002397313,0.1132347,0.0000658345,0.0003884801,0.001619383,0.0002941434,0.6794104,0.1679852,0.001693329,0.03245536,0.0002005257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4204129,0.0005921297,0.5503145,0.0001842638,0.0001499037,0.0004220703,0.0005225068,0.02381604,0.003585757],"genre_scores_gemma":[0.8005142,0.000122484,0.1948937,0.00008830362,0.00005651377,0.0002580087,0.0006939794,0.0001691743,0.003203605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002127007,"threshold_uncertainty_score":0.004505575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04302347664216297,"score_gpt":0.2799600790625673,"score_spread":0.2369366024204043,"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."}}