{"id":"W2293308404","doi":"10.1007/978-3-319-07221-0_91","title":"An Exploratory Study of Learners’ Brain States","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Workload; Distraction; Cognition; Task (project management); Mental state; Human–computer interaction; Exploratory research; Variation (astronomy); Cognitive psychology; Artificial intelligence; Psychology","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":[0.0006271414,0.0002249684,0.0002065711,0.0004943871,0.0004172239,0.0006762813,0.000326186,0.0003979635,0.003361655],"category_scores_gemma":[0.00486832,0.0001099051,0.0001133192,0.0003670743,0.0005906476,0.0006995178,0.0008246739,0.0005378874,0.0005837626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000127055,"about_ca_system_score_gemma":0.0001735256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004924071,"about_ca_topic_score_gemma":0.0005996407,"domain_scores_codex":[0.9997385,0.0001010463,0.00001267946,0.00005497195,0.0000581408,0.00003471842],"domain_scores_gemma":[0.9976957,0.001556733,0.0001478115,0.0001278846,0.0002286504,0.0002431707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003983589,0.007230092,0.397523,0.0005882842,0.0001798075,0.005582476,0.2405076,0.0009568933,0.1528296,0.002952294,0.002785518,0.184881],"study_design_scores_gemma":[0.0001540109,0.01044396,0.818092,0.00009608814,0.0001081272,0.005703987,0.1074541,0.002083994,0.03836883,0.003102049,0.01427723,0.0001155447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980851,0.00003545928,0.0002596961,0.0000163754,0.000002405071,0.0000191275,0.00005172888,0.000008098104,0.001522097],"genre_scores_gemma":[0.9981493,0.00004720834,0.0002957982,0.00001708986,0.000003623179,0.00004974217,0.00007016463,0.000006573231,0.001360565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003361655,"threshold_uncertainty_score":0.01124579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02594295829467111,"score_gpt":0.2636384580745532,"score_spread":0.2376954997798821,"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."}}