{"id":"W1881423045","doi":"10.1007/978-3-642-13059-5_54","title":"Peer-Based Intelligent Tutoring Systems: A Corpus-Oriented Approach","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Topic Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Artificial intelligence; Natural language processing; Multimedia; World Wide Web; 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":[0.00472696,0.0009249868,0.001792299,0.003784066,0.002285672,0.004824449,0.004564911,0.001996607,0.01089449],"category_scores_gemma":[0.02173476,0.0007346723,0.0005814481,0.004943056,0.001669998,0.008740215,0.003817254,0.001647794,0.003651456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543674,"about_ca_system_score_gemma":0.00211702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00347967,"about_ca_topic_score_gemma":0.005687301,"domain_scores_codex":[0.9960836,0.002163873,0.000199948,0.000520193,0.0009194067,0.0001129403],"domain_scores_gemma":[0.9890094,0.007481955,0.0002507168,0.001013514,0.001931883,0.0003124613],"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":[0.0005181064,0.0005242442,0.003779761,0.002184325,0.0002643873,0.0006755512,0.007019616,0.06682687,0.015698,0.1080191,0.04548062,0.7490094],"study_design_scores_gemma":[0.0001870325,0.0004038218,0.003336687,0.0003498969,0.0004169794,0.0009694999,0.004654319,0.6817933,0.02338082,0.1336178,0.1507041,0.0001857703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03616126,0.003403903,0.9053404,0.001930034,0.0003742354,0.0009973123,0.002760126,0.006213735,0.04281902],"genre_scores_gemma":[0.4544446,0.003062039,0.5019971,0.0003366608,0.0007339998,0.001732865,0.007257689,0.001983373,0.02845162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01089449,"threshold_uncertainty_score":0.03644568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02974926576199064,"score_gpt":0.2478560782410197,"score_spread":0.218106812479029,"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."}}