{"id":"W3124700509","doi":"10.3389/frai.2020.595627","title":"Automated Disengagement Tracking Within an Intelligent Tutoring System","year":2021,"lang":"en","type":"article","venue":"Frontiers in Artificial Intelligence","topic":"Mind wandering and attention","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Institute of Education Sciences; National Science Foundation","keywords":"Disengagement theory; Reading comprehension; Computer science; Intelligent tutoring system; Comprehension; Conversation; Reading (process); Sentence; Tracking (education); Literacy; Chatbot; Artificial intelligence; Psychology; Mathematics education; Human–computer interaction; Natural language processing; Cognitive psychology; Multimedia; 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":[0.0007168018,0.0004363132,0.0006591631,0.0007140567,0.0002280103,0.000687173,0.0006133007,0.0005004625,0.0008472649],"category_scores_gemma":[0.003254242,0.0002295783,0.0002398535,0.0002814528,0.0001768163,0.0006162214,0.0005054662,0.0003796587,0.0004779636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003793139,"about_ca_system_score_gemma":0.0004524118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002221896,"about_ca_topic_score_gemma":0.002370213,"domain_scores_codex":[0.9990473,0.0002317871,0.0000860574,0.0003060657,0.0002672727,0.00006143275],"domain_scores_gemma":[0.9980214,0.0009566071,0.0002437751,0.0002157426,0.0004112931,0.0001512552],"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":[0.001040582,0.0005588309,0.04930155,0.0001956734,0.0001366617,0.0002879687,0.0007472986,0.0191612,0.166072,0.0006458388,0.002087616,0.7597649],"study_design_scores_gemma":[0.0001511036,0.001216339,0.06556345,0.00003436117,0.000241193,0.0008634828,0.0001739367,0.7816575,0.1371726,0.001167487,0.01162743,0.0001310294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4896049,0.0003599059,0.4884092,0.00009855038,0.00005874507,0.0002384643,0.0002711295,0.01890143,0.002057601],"genre_scores_gemma":[0.8163747,0.00008112445,0.1812809,0.00004468327,0.00003347587,0.0001446128,0.0003508229,0.0001237064,0.001565957],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002221896,"threshold_uncertainty_score":0.004417896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1061749578338392,"score_gpt":0.3200641674939881,"score_spread":0.213889209660149,"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."}}