{"id":"W1751507894","doi":"10.1007/978-1-4419-5546-3_7","title":"Modeling and Studying Gaming the System with Educational Data Mining","year":2013,"lang":"en","type":"book-chapter","venue":"Springer international handbooks of education","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Educational data mining; Data science; Detector; Annotation; Software; Work (physics); Educational game; Human–computer interaction; Artificial intelligence; Multimedia; Engineering","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":[0.0003236992,0.0002142018,0.0002025778,0.0002256634,0.0001639241,0.0002577479,0.001440996,0.00008069467,0.0000230391],"category_scores_gemma":[0.0000446781,0.0001625489,0.00003789365,0.0000318926,0.00006751373,0.000401457,0.0005582501,0.0002584614,0.00001324372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009701569,"about_ca_system_score_gemma":0.0005546286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001124241,"about_ca_topic_score_gemma":0.00002110645,"domain_scores_codex":[0.9984704,0.00001466383,0.0003811101,0.0005045085,0.0005013669,0.0001280102],"domain_scores_gemma":[0.9981756,0.0001336244,0.0003650744,0.0008023163,0.0004664819,0.00005690768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008223627,0.00006587835,0.0004840671,0.0001837288,0.0003496124,0.000001041676,0.001463538,0.002305618,0.00003452376,0.9372898,0.0006921312,0.05712186],"study_design_scores_gemma":[0.0002169505,0.00004856609,0.0002203809,0.003416176,0.0001095318,0.00006655328,0.0007417419,0.9824367,0.00001312016,0.006671005,0.00564213,0.0004171672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02596878,0.007336971,0.2495441,0.02601703,0.007939206,0.001622059,0.0001027257,0.0003382369,0.6811308],"genre_scores_gemma":[0.7967053,0.0001187236,0.05872648,0.0001177173,0.001276128,0.00002715853,0.0001662673,0.00005277553,0.1428094],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.980131,"threshold_uncertainty_score":0.6628553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04564343442184672,"score_gpt":0.290192017599304,"score_spread":0.2445485831774573,"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."}}