{"id":"W2406609927","doi":"","title":"Mining User's Behaviors in Intelligent Educational Games: Prime Climb a Case Study.","year":2013,"lang":"en","type":"article","venue":"Educational Data Mining","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Climb; Computer science; Prime (order theory); Human–computer interaction; Engineering; 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"],"consensus_categories":[],"category_scores_codex":[0.000666344,0.0002430994,0.0002136892,0.000343856,0.0002825692,0.0005820217,0.002448211,0.00005971684,0.0004936184],"category_scores_gemma":[0.0003126081,0.0002565311,0.00003273971,0.000856695,0.00006315013,0.002269804,0.001207993,0.0002126878,0.0003664462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001397242,"about_ca_system_score_gemma":0.0009253034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00248234,"about_ca_topic_score_gemma":0.0004136569,"domain_scores_codex":[0.9973363,0.0001000363,0.0006542977,0.001075297,0.0004151413,0.000418916],"domain_scores_gemma":[0.9966159,0.0006947528,0.0002120825,0.002082596,0.0001752753,0.0002194036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000004164139,0.007497722,0.3047062,0.00003091113,0.0001112321,0.0001489344,0.04374173,0.00006540758,0.0001553009,0.007098273,0.1943865,0.4420536],"study_design_scores_gemma":[0.001714443,0.0004551699,0.6927103,0.0004391566,0.0001276033,0.004773575,0.1063991,0.1374799,0.0001254175,0.001557633,0.05159295,0.002624818],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803373,0.0001654459,0.009940337,0.00716894,0.0008431143,0.0008102565,0.0001371532,0.00007124215,0.0005261651],"genre_scores_gemma":[0.6455854,0.000008258166,0.3501698,0.0003782478,0.0004229093,0.0008433531,0.001231917,0.00002632756,0.001333806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4394288,"threshold_uncertainty_score":0.9999887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06904220657417487,"score_gpt":0.3595855794393796,"score_spread":0.2905433728652047,"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."}}