{"id":"W120414736","doi":"","title":"A Meta-Analysis of Educational Data Mining on Improvements in Learning Outcomes.","year":2013,"lang":"en","type":"article","venue":"College student journal","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Educational data mining; Mathematics education; Data science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04260838,0.002455526,0.01176256,0.01335385,0.0007082948,0.003799553,0.001944477,0.001797731,0.003661408],"category_scores_gemma":[0.1117255,0.001046777,0.03984657,0.009281522,0.0007433142,0.002868689,0.001986157,0.002314785,0.0003022043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004431387,"about_ca_system_score_gemma":0.005501476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005022053,"about_ca_topic_score_gemma":0.008783812,"domain_scores_codex":[0.9654822,0.02008901,0.008311324,0.00254339,0.003077986,0.0004960081],"domain_scores_gemma":[0.9233427,0.06286185,0.007260771,0.002206932,0.003807136,0.0005206825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002737161,0.00006611703,0.00562144,0.3836234,0.5767925,0.0001009024,0.0001943132,0.0007461847,0.0002006109,0.0004605507,0.001063384,0.02839326],"study_design_scores_gemma":[0.0009428825,0.0005706866,0.005697168,0.05159182,0.9359092,0.000114383,0.0001313813,0.0003790039,0.0003164053,0.0007739547,0.003533062,0.00004004121],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01095721,0.9795133,0.003645803,0.0008188389,0.0005136582,0.001605346,0.002132349,0.00006715475,0.0007463468],"genre_scores_gemma":[0.3996754,0.5705302,0.01575371,0.001945328,0.0004939954,0.008006023,0.002734884,0.00008636603,0.0007741732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04260838,"threshold_uncertainty_score":0.2253373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09489879696725455,"score_gpt":0.379527422486042,"score_spread":0.2846286255187874,"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."}}