{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003424277,0.001215455,0.0009299376,0.003296837,0.000681027,0.002345417,0.0008964514,0.001338608,0.01639247],"category_scores_gemma":[0.02654857,0.0002469386,0.001142612,0.004854484,0.0006102272,0.001073947,0.001086,0.002933766,0.008282562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008934925,"about_ca_system_score_gemma":0.001736123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004644565,"about_ca_topic_score_gemma":0.003538668,"domain_scores_codex":[0.9974765,0.000709374,0.0002746145,0.0002758437,0.0008761671,0.0003875575],"domain_scores_gemma":[0.974892,0.01213764,0.004074098,0.001517326,0.005575507,0.001803492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002742889,0.0007388212,0.9419038,0.0001635921,0.0001680938,0.0001069841,0.0002340684,0.004257559,0.0002097683,0.0009717802,0.008226858,0.04274432],"study_design_scores_gemma":[0.0000343545,0.0008185723,0.9643664,0.0002322178,0.0002382765,0.0003475673,0.0008067854,0.01677451,0.00118944,0.002872593,0.01224812,0.00007115003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8922261,0.002957859,0.01739595,0.002698376,0.0004711085,0.0008113643,0.0342545,0.0009706515,0.0482141],"genre_scores_gemma":[0.9810362,0.0009185915,0.002661342,0.0001081755,0.0001254518,0.0003370975,0.007771214,0.00007370591,0.00696828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01639247,"threshold_uncertainty_score":0.0548383,"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."}}