{"id":"W2729139296","doi":"","title":"Proceedings of the International Conference on Educational Data Mining (EDM) (8th, Madrid, Spain, June 26-29, 2015).","year":2015,"lang":"en","type":"article","venue":"Educational Data Mining","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Educational data mining; Library science; Data science; Engineering; Computer science; Engineering physics","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":[0.01026193,0.001261137,0.001907032,0.004535731,0.001121276,0.006414364,0.002308323,0.001613975,0.0360216],"category_scores_gemma":[0.0158493,0.000796807,0.001121377,0.002973635,0.001140102,0.004933042,0.003866439,0.003020934,0.02038362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610107,"about_ca_system_score_gemma":0.004199671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00709624,"about_ca_topic_score_gemma":0.01281484,"domain_scores_codex":[0.9957446,0.001399959,0.0003828626,0.0006604365,0.0015357,0.0002764614],"domain_scores_gemma":[0.9889889,0.003072806,0.0003682158,0.002355536,0.003743609,0.001470953],"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":[0.0002681694,0.0003269678,0.003663022,0.0004108498,0.0001536654,0.0001280803,0.0002309874,0.0007578324,0.001901884,0.003334498,0.5521263,0.4366979],"study_design_scores_gemma":[0.00004965593,0.000166858,0.01263855,0.000908021,0.0001996732,0.0005941322,0.0007119836,0.01242948,0.006331318,0.01463557,0.9512483,0.00008639285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03606335,0.1683511,0.5191714,0.05131755,0.06653421,0.001442685,0.04298082,0.01742568,0.09671322],"genre_scores_gemma":[0.1473816,0.08100367,0.3860776,0.004956812,0.01338007,0.0009607962,0.1077064,0.00348782,0.2550452],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0360216,"threshold_uncertainty_score":0.1205042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.140083259068256,"score_gpt":0.3705966424051829,"score_spread":0.2305133833369269,"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."}}