{"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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.001227491,0.0001955744,0.000185326,0.0001715469,0.0001725978,0.0003469128,0.007281557,0.00006400636,0.0001385285],"category_scores_gemma":[0.002343706,0.0001661561,0.00003473491,0.0004718418,0.0001315528,0.001439525,0.002547899,0.0002793858,0.0001016686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008834852,"about_ca_system_score_gemma":0.00227718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003622975,"about_ca_topic_score_gemma":0.00002364709,"domain_scores_codex":[0.9974456,0.00003883924,0.0004459037,0.0008068148,0.0009981912,0.0002646536],"domain_scores_gemma":[0.9968256,0.0003630375,0.0004311815,0.001488627,0.0007249906,0.0001665473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001323786,0.0004462744,0.02852192,0.00002481086,0.00007898297,5.56973e-7,0.002033648,0.0001018893,0.0001932429,0.1223717,0.8410746,0.005139111],"study_design_scores_gemma":[0.001527258,0.0001756268,0.06392409,0.001252195,0.0001239298,0.0001857636,0.007757348,0.6293262,0.0002477434,0.02082775,0.2733709,0.001281194],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1202021,0.0003596725,0.002493539,0.830285,0.01250642,0.0004120151,0.001228388,0.000181159,0.03233179],"genre_scores_gemma":[0.7144229,0.00003294716,0.2564533,0.001813778,0.003556254,0.00002113704,0.003325002,0.00004821724,0.02032643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8284711,"threshold_uncertainty_score":0.9980896,"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."}}