{"id":"W3007006485","doi":"","title":"Proceedings of the International Conference on Educational Data Mining (EDM) (12th, Montreal, Canada, July 2-5, 2019).","year":2019,"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":"Université du Québec à Montréal; Polytechnique Montréal","funders":"","keywords":"Library science; Computer science; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006238146,0.001134671,0.001392499,0.004435546,0.001233723,0.005848934,0.001893947,0.001349947,0.06285701],"category_scores_gemma":[0.01081952,0.0005895644,0.0008789753,0.003481796,0.00118102,0.003530056,0.00303868,0.002525966,0.0294054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002719925,"about_ca_system_score_gemma":0.006671049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0412708,"about_ca_topic_score_gemma":0.06843454,"domain_scores_codex":[0.9971263,0.0006870538,0.000224264,0.0004341434,0.001281773,0.0002464755],"domain_scores_gemma":[0.9905702,0.002110678,0.0002934218,0.001365987,0.004124294,0.001535512],"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":[0.000132044,0.00012141,0.002551745,0.0003265207,0.00008681626,0.00008825064,0.0001256878,0.0003829795,0.001494757,0.003428735,0.7019603,0.2893007],"study_design_scores_gemma":[0.00001590256,0.00005182446,0.006601892,0.0004250499,0.00008122817,0.0002748563,0.0002966984,0.00427391,0.002667142,0.006250406,0.9790181,0.00004298985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02606225,0.1889363,0.3272437,0.0806876,0.08261504,0.001241546,0.08450031,0.0167617,0.1919515],"genre_scores_gemma":[0.0917446,0.08818383,0.1997589,0.006974962,0.01310515,0.0006174375,0.1291033,0.003267872,0.4672439],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9587292,"threshold_uncertainty_score":0.2102776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05317215898791266,"score_gpt":0.3117296446957465,"score_spread":0.2585574857078339,"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."}}