{"id":"W941149844","doi":"10.5815/ijisa.2015.09.03","title":"Data Mining of Students’ Performance: Turkish Students as a Case Study","year":2015,"lang":"en","type":"article","venue":"International Journal of Intelligent Systems and Applications","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Artificial neural network; Turkish; Artificial intelligence; Field (mathematics); Machine learning; Task (project management); Feedforward neural network; Exploit","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":[0.001190944,0.00009572885,0.0002015328,0.0002031611,0.00005360512,0.0002942267,0.002384193,0.00002796272,0.000001750438],"category_scores_gemma":[0.00006884826,0.00007815427,0.00003529012,0.000169884,0.0000292256,0.0003637981,0.0006663539,0.000141522,0.000007774366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004569098,"about_ca_system_score_gemma":0.0001118043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001427656,"about_ca_topic_score_gemma":0.000008358043,"domain_scores_codex":[0.9979233,0.00006057973,0.0006972011,0.0001897726,0.001039098,0.00009011948],"domain_scores_gemma":[0.9978751,0.00008094856,0.0005881627,0.0003997548,0.0009175162,0.0001385012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004790813,0.003828155,0.9111418,0.00005859481,0.001451873,0.001124273,0.01056251,0.006147841,0.00004763971,0.004373521,0.001764607,0.05945132],"study_design_scores_gemma":[0.010043,0.006671411,0.02933021,0.002218054,0.0008439223,0.07851698,0.2871151,0.4072521,0.0004557551,0.00152694,0.1741951,0.001831461],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9351944,0.0003520985,0.06346084,0.0002182433,0.0004475064,0.0002034441,0.00001220871,0.00001142563,0.00009980961],"genre_scores_gemma":[0.9976792,0.00009687015,0.001626733,0.00002535657,0.000324826,0.000008585846,0.000004514174,0.000005920261,0.0002279715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8818116,"threshold_uncertainty_score":0.4430464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08624836468142867,"score_gpt":0.4261551681633598,"score_spread":0.3399068034819311,"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."}}