{"id":"W2054277717","doi":"10.1109/waina.2015.114","title":"Academic Performance Predictors","year":2015,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Workload; Academic institution; Computer science; Work (physics); Asset (computer security); Intervention (counseling); Institution; Academic achievement; Psychology; Mathematics education; Computer security; Engineering; Political science; Operating system","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":[0.0001842377,0.00004242647,0.00004558969,0.00003433684,0.00002411439,0.00002516462,0.000420642,0.00003347814,0.000004356819],"category_scores_gemma":[0.00003516775,0.00003246356,0.00001334684,0.0001681244,0.00001254989,0.0002520108,0.0001005722,0.000154775,0.0002603069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001208871,"about_ca_system_score_gemma":0.00005892307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003076462,"about_ca_topic_score_gemma":2.188604e-7,"domain_scores_codex":[0.9995242,0.00001159894,0.0000751748,0.0001108375,0.0001584961,0.0001197419],"domain_scores_gemma":[0.9996517,0.00001094313,0.00001995287,0.0001784362,0.00003562813,0.0001033063],"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":[0.000005715779,0.00007441569,0.594164,0.0000217505,0.00002782104,0.00001222876,0.002482763,0.009754083,0.0001223653,0.1544783,0.08968502,0.1491715],"study_design_scores_gemma":[0.0001600405,0.00008629085,0.006472872,0.000007801183,0.00000196365,0.000009085609,0.0000273144,0.948913,0.0002579407,0.001496142,0.04246958,0.00009797217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7589043,0.0001000619,0.1811198,0.009485506,0.0005444344,0.00004197341,2.420329e-7,0.0007601607,0.0490435],"genre_scores_gemma":[0.9778626,0.00001203251,0.01348615,0.0002856757,0.0001008885,5.531645e-7,4.518313e-7,0.00000240358,0.008249221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9391589,"threshold_uncertainty_score":0.3345805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03085129285316189,"score_gpt":0.2779466066504732,"score_spread":0.2470953137973113,"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."}}