{"id":"W6888544727","doi":"10.21227/j4fh-pb22","title":"Student Performance and Engagement Prediction in eLearning datasets","year":2020,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Set (abstract data type); Data collection; Student engagement; Key (lock)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001745063,0.0005830809,0.0006318354,0.0004484908,0.0001816178,0.0001716207,0.000999287,0.0002533507,0.0003348269],"category_scores_gemma":[0.000149167,0.0006262815,0.0000377255,0.0004609782,0.0001033179,0.0007398023,0.000911245,0.001895128,0.008895708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000272519,"about_ca_system_score_gemma":0.0001763283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002438656,"about_ca_topic_score_gemma":0.0002481212,"domain_scores_codex":[0.9959208,0.000264618,0.0008708525,0.001279829,0.001102837,0.0005610515],"domain_scores_gemma":[0.9975941,0.00006177004,0.0004938419,0.001569674,0.0000328956,0.0002477157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000765587,0.0001879107,0.00524267,0.0003904782,0.0001049702,0.0003563709,0.00007836056,0.0001190482,0.00007016471,2.239826e-7,0.9929833,0.0003899075],"study_design_scores_gemma":[0.0008587845,0.000177752,0.02518822,0.0002674186,0.0001992569,0.00004108219,0.00008044127,0.0002443429,0.0000263297,3.020797e-7,0.9724324,0.0004836564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006997321,0.00007321755,0.000003719352,0.00001456005,0.0007142481,0.0008570019,0.9911821,0.0001201723,0.00003760468],"genre_scores_gemma":[0.001123304,0.0009044735,0.00005851406,0.0001654343,0.000443782,0.0001529349,0.9970337,0.0000894386,0.00002847187],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02055092,"threshold_uncertainty_score":0.9996188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03665679095098644,"score_gpt":0.312196525913553,"score_spread":0.2755397349625666,"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."}}