{"id":"W3197315056","doi":"10.3390/su13179775","title":"Student-Performulator: Student Academic Performance Using Hybrid Deep Neural Network","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"Taif University","keywords":"Computer science; Artificial intelligence; Machine learning; Deep learning; Artificial neural network; Raw data; Educational data mining; Classifier (UML); Feature (linguistics); Feature learning; Performance prediction; Data mining; Simulation","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":[0.0006170651,0.001148926,0.000482575,0.001329131,0.0002048728,0.000628497,0.00109344,0.0005838575,0.001782935],"category_scores_gemma":[0.0009963048,0.0001940464,0.0003529485,0.0008635448,0.0001734105,0.0009122664,0.0008212849,0.0007776576,0.001014266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007970394,"about_ca_system_score_gemma":0.0007560466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01012185,"about_ca_topic_score_gemma":0.01621704,"domain_scores_codex":[0.9997007,0.00004642894,0.00001661715,0.00009809546,0.00008680257,0.00005148938],"domain_scores_gemma":[0.9996581,0.00006392004,0.00006386021,0.00003144645,0.0001262486,0.00005650772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005037896,0.001192261,0.0390142,0.0001463551,0.0002872689,0.0001857254,0.0001072813,0.2618194,0.01052884,0.001218072,0.009261536,0.6757352],"study_design_scores_gemma":[0.000007779116,0.00009859063,0.004442913,0.000008284238,0.00001657446,0.00001792297,0.0000160828,0.9908608,0.003262111,0.0006024642,0.0006469191,0.00001951967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5880923,0.001068117,0.3753293,0.0009316313,0.000315339,0.0001915264,0.003726932,0.02036519,0.009979659],"genre_scores_gemma":[0.9563246,0.0001980417,0.03374697,0.0001227814,0.00006076496,0.0001000436,0.002425364,0.0001093359,0.00691211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01012185,"threshold_uncertainty_score":0.02012587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403589907654775,"score_gpt":0.3222602475100584,"score_spread":0.3082243484335107,"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."}}