{"id":"W1911127936","doi":"10.1007/978-1-84628-758-9_13","title":"Data Mining in E-Learning","year":2007,"lang":"en","type":"book-chapter","venue":"Advanced information and knowledge processing","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004615387,0.0002291115,0.0002345996,0.0004044996,0.0002074036,0.0003228242,0.0007477021,0.0001733925,0.00001022628],"category_scores_gemma":[0.0000650301,0.0002197197,0.00001684282,0.0001202742,0.0000399685,0.007248764,0.001192456,0.000427926,0.00005406261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004643661,"about_ca_system_score_gemma":0.000160139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001107563,"about_ca_topic_score_gemma":0.000013371,"domain_scores_codex":[0.99872,0.000008506055,0.0005323985,0.0003206729,0.000191981,0.0002264058],"domain_scores_gemma":[0.998892,0.00006194766,0.0003650388,0.0004582395,0.0001401045,0.00008267477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004377284,0.000003886189,0.000006045703,0.0001360943,0.000002035252,0.000002173314,0.001156833,0.00002576821,0.000001833829,0.008312009,0.0001230529,0.9902259],"study_design_scores_gemma":[0.0003233536,0.00001983174,0.00001967162,0.0008914441,0.0000035446,0.00001418896,0.0001089638,0.28303,0.000009420996,0.001078468,0.7142216,0.000279523],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.000009582807,0.004410039,0.4560758,0.00002416,0.0001870742,0.0001152172,0.00001012023,0.0001370397,0.5390309],"genre_scores_gemma":[0.006422349,0.003832354,0.8721391,0.0006859626,0.0004624153,0.00002033195,0.002418985,0.00009244737,0.1139261],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9899464,"threshold_uncertainty_score":0.8959909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04334175132874696,"score_gpt":0.3072032505440172,"score_spread":0.2638614992152702,"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."}}