{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001064492,0.000402548,0.0003710597,0.001399288,0.000995432,0.00108005,0.000875132,0.000924608,0.001257016],"category_scores_gemma":[0.006929438,0.0002110989,0.0003116885,0.001437665,0.0003838895,0.0007805999,0.0008428121,0.0007362387,0.0006145294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005620235,"about_ca_system_score_gemma":0.0007987931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01858146,"about_ca_topic_score_gemma":0.0419353,"domain_scores_codex":[0.9992284,0.0003348197,0.00005031493,0.0001334678,0.000169635,0.00008347096],"domain_scores_gemma":[0.996415,0.002099699,0.0002848436,0.0002474485,0.0004469724,0.0005059623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001483076,0.005081356,0.6962558,0.0007303916,0.0003448999,0.008294164,0.01648138,0.007736064,0.004441865,0.002511255,0.02890203,0.2277377],"study_design_scores_gemma":[0.0002915229,0.002570936,0.7790425,0.0004637822,0.0003073258,0.006274581,0.03740763,0.1114317,0.007484329,0.005797824,0.04875476,0.0001731212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895425,0.0002384407,0.00408357,0.0006488361,0.00002215865,0.0003167665,0.001308302,0.0001974133,0.003642009],"genre_scores_gemma":[0.981059,0.0002111143,0.01333296,0.0001728455,0.00001013982,0.0001643767,0.00165465,0.00003415626,0.00336059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01858146,"threshold_uncertainty_score":0.03694659,"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."}}