{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001235063,0.002451865,0.001011279,0.004121799,0.000761085,0.001786086,0.002806425,0.002682764,0.03542052],"category_scores_gemma":[0.00723451,0.0005089816,0.001398391,0.005618166,0.0005266016,0.00143497,0.002191968,0.002031312,0.05913051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087296,"about_ca_system_score_gemma":0.002104708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03429495,"about_ca_topic_score_gemma":0.06380083,"domain_scores_codex":[0.9985836,0.0002335914,0.0001265674,0.0003336045,0.0004209196,0.0003018409],"domain_scores_gemma":[0.9965532,0.0006986435,0.0002303694,0.0008098921,0.001127109,0.0005807282],"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":[0.00009702866,0.0001123849,0.00261986,0.0002196865,0.00002979036,0.00002476357,0.00002945085,0.000831724,0.0001286468,0.0003193588,0.9899487,0.005638486],"study_design_scores_gemma":[0.0006497414,0.0002050461,0.04275372,0.0004022641,0.00007816071,0.0002091294,0.0005279721,0.006566788,0.001844591,0.003204334,0.9434116,0.000146482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00162226,0.00006765725,0.0001760561,0.0002128557,0.00007168295,0.00002362787,0.995903,0.000688219,0.001234669],"genre_scores_gemma":[0.001601142,0.0000349755,0.0003946917,0.00005153754,0.00001696441,0.00006841101,0.9962909,0.00004909275,0.001492315],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03542052,"threshold_uncertainty_score":0.1184934,"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."}}