{"id":"W2289792667","doi":"10.1109/gem.2014.7405433","title":"Design guidelines for Gamifying reading applications","year":2014,"lang":"en","type":"article","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Reading (process); Computer science; Reading motivation; Work (physics); Multimedia; Leisure time; Video game; Psychology; Linguistics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01492555,0.002999978,0.0007938547,0.002954287,0.001172477,0.004503978,0.004002021,0.004001606,0.01008927],"category_scores_gemma":[0.0344595,0.001762089,0.0009247798,0.0009862657,0.001538757,0.003259393,0.002902092,0.002785176,0.00494857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193353,"about_ca_system_score_gemma":0.001946918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001368275,"about_ca_topic_score_gemma":0.004398713,"domain_scores_codex":[0.9912804,0.004864492,0.001314265,0.0004476206,0.001729006,0.0003641882],"domain_scores_gemma":[0.9807539,0.01112469,0.001147455,0.001465192,0.004730076,0.0007787488],"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":[0.000865174,0.002203462,0.004375556,0.006785093,0.0001464858,0.002142214,0.01902439,0.04864522,0.0409376,0.2450907,0.04475444,0.5850297],"study_design_scores_gemma":[0.001274023,0.001832191,0.003526554,0.00584297,0.00031199,0.001783852,0.004940295,0.1231009,0.03658406,0.1724404,0.6480112,0.0003515193],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008910103,0.0009997579,0.9503105,0.001553718,0.000154617,0.01145196,0.0002161208,0.004241036,0.02216215],"genre_scores_gemma":[0.0186782,0.0005289043,0.9670544,0.0002212231,0.00001760354,0.008494899,0.0001711897,0.0003650533,0.004468527],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01492555,"threshold_uncertainty_score":0.07893485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2138856734718992,"score_gpt":0.4490621681312933,"score_spread":0.2351764946593942,"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."}}