{"id":"W6907426018","doi":"10.21227/4xkr-0f88","title":"Student-Performance-and-Engagement-Prediction-eLearning-datasets","year":2020,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001522237,0.001156031,0.001143943,0.000539719,0.000646102,0.0003905356,0.002402871,0.0005396286,0.00182176],"category_scores_gemma":[0.0003073816,0.001208371,0.0001517571,0.0007360057,0.0003258451,0.001094378,0.001548538,0.003004726,0.07217143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002296198,"about_ca_system_score_gemma":0.0003461106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002038604,"about_ca_topic_score_gemma":0.00006791227,"domain_scores_codex":[0.9933366,0.0003423458,0.001294157,0.002000204,0.001999623,0.001027085],"domain_scores_gemma":[0.9949844,0.0001306069,0.0009261549,0.003150703,0.0001111085,0.0006969713],"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":[0.00009597303,0.0002390803,0.00137592,0.000442273,0.0006454508,0.0004281117,0.00005016635,0.00004591244,0.00005908272,8.359721e-7,0.9962618,0.0003554109],"study_design_scores_gemma":[0.001168382,0.0002748224,0.003423733,0.0001905012,0.0009844287,0.0001122483,0.00009296626,0.00009545951,0.00004035566,0.000001131943,0.9926137,0.001002321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006685647,0.0001016697,0.000007884301,0.00004770863,0.002534767,0.0009939995,0.9949902,0.0005194346,0.0001358175],"genre_scores_gemma":[0.0002740218,0.001589401,0.00008446287,0.0007130263,0.001611411,0.0002066113,0.9951411,0.0002405941,0.0001393956],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07034966,"threshold_uncertainty_score":0.9992954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03894084474032215,"score_gpt":0.3064265343029479,"score_spread":0.2674856895626257,"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."}}