{"id":"W2528121502","doi":"","title":"Designing the \"Appeal\" of Educational Games.","year":2016,"lang":"en","type":"article","venue":"Americas Conference on Information Systems","topic":"Educational Games and Gamification","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Appeal; Computer science; Educational game; Human–computer interaction; Multimedia; Political science","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":[0.001918722,0.0007061869,0.0001922698,0.0005779251,0.000772203,0.002846879,0.0009730152,0.001286786,0.01238915],"category_scores_gemma":[0.01692255,0.0003568568,0.0003033506,0.0001785219,0.001326967,0.002230836,0.002218881,0.001247995,0.001528879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004122857,"about_ca_system_score_gemma":0.0005329336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008771351,"about_ca_topic_score_gemma":0.001873733,"domain_scores_codex":[0.9985738,0.001056065,0.0000386663,0.00009196781,0.0001444014,0.00009515225],"domain_scores_gemma":[0.9969652,0.0022731,0.00009560446,0.0001488721,0.0002672603,0.0002499686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002265092,0.002055375,0.01546808,0.002544128,0.0001989255,0.0008565514,0.02076555,0.01161602,0.03625782,0.4131462,0.05910353,0.4357227],"study_design_scores_gemma":[0.001125109,0.002663884,0.02150963,0.001455246,0.0006225774,0.00112893,0.02117537,0.1347336,0.03737199,0.3999643,0.3779816,0.0002678586],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2691939,0.001190602,0.4725374,0.006938228,0.0008949211,0.00196466,0.0002163587,0.003908615,0.2431553],"genre_scores_gemma":[0.8636757,0.0002881115,0.11881,0.0007751531,0.00004505972,0.0006843406,0.00009423019,0.0002255764,0.01540183],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01238915,"threshold_uncertainty_score":0.04144585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05215271232018638,"score_gpt":0.3369060638772076,"score_spread":0.2847533515570213,"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."}}