{"id":"W6981598272","doi":"","title":"ERIC ED537453: Proceedings of the International Conference on Educational Data Mining (EDM) (4th, Eindhoven, the Netherlands, July 6-8, 2011)","year":2011,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Educational data mining; Knowledge extraction; Hypermedia; State (computer science); Session (web analytics); Big data; Data stream mining; Educational research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01019642,0.001844414,0.002256801,0.005882483,0.001482073,0.0118811,0.002715944,0.004185023,0.2110594],"category_scores_gemma":[0.02081992,0.0009673951,0.001333339,0.006757729,0.001258891,0.008426537,0.004517165,0.003951256,0.1316155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783833,"about_ca_system_score_gemma":0.003767561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002506,"about_ca_topic_score_gemma":0.003010959,"domain_scores_codex":[0.9936507,0.001718093,0.0004899663,0.0009568122,0.002805629,0.0003787514],"domain_scores_gemma":[0.9873012,0.004061675,0.0006101459,0.00189535,0.004221623,0.001910015],"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":[0.00006027458,0.00003474742,0.0002551961,0.0002656521,0.0000215383,0.00006881545,0.00005058469,0.0001660707,0.0003422433,0.00220083,0.8609492,0.1355849],"study_design_scores_gemma":[0.00001026401,0.00001668157,0.0004134908,0.0002950724,0.000009748867,0.0001136467,0.00004980201,0.0005156143,0.0003648609,0.001439999,0.9967583,0.00001252029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005545385,0.1584228,0.2239668,0.08175466,0.1334414,0.001517525,0.02311528,0.01529189,0.3569443],"genre_scores_gemma":[0.01457615,0.08181725,0.06738614,0.01061908,0.0153131,0.0007899179,0.0321283,0.005397095,0.771973],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2110594,"threshold_uncertainty_score":0.706064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0268832514198732,"score_gpt":0.2383888512049311,"score_spread":0.211505599785058,"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."}}