{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001273306,0.0006721818,0.0005862567,0.001132278,0.0003809033,0.002500068,0.001355693,0.0007374546,0.001654208],"category_scores_gemma":[0.007635942,0.0005169829,0.0009574695,0.001557691,0.0007368349,0.002916291,0.0008125888,0.001589403,0.0004440857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007242665,"about_ca_system_score_gemma":0.0009774896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01259928,"about_ca_topic_score_gemma":0.01294575,"domain_scores_codex":[0.9993721,0.0002771428,0.00004378408,0.0001437073,0.0001103222,0.00005293788],"domain_scores_gemma":[0.9958682,0.003470984,0.0001529769,0.0002872881,0.0001532758,0.00006727978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000885148,0.000367435,0.02501477,0.0002913648,0.0001737273,0.0002036216,0.0005104967,0.5353296,0.00146259,0.08943509,0.006875786,0.340247],"study_design_scores_gemma":[0.000002706397,0.00001414685,0.0009720477,0.00002859578,0.0000133377,0.0000377033,0.0001082636,0.9465486,0.0007306735,0.0493893,0.002147514,0.000007033825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03479967,0.001047669,0.9590588,0.001068223,0.00004404898,0.00008054792,0.0003943955,0.0005141322,0.002992507],"genre_scores_gemma":[0.4985076,0.002175665,0.49207,0.0002313631,0.0001450625,0.0001793117,0.001370454,0.0001469736,0.005173708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01259928,"threshold_uncertainty_score":0.02505189,"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."}}