{"id":"W2610686141","doi":"10.1145/3027063.3027116","title":"Applying Gameful Design Heuristics","year":2017,"lang":"en","type":"article","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Heuristics; Computer science; Heuristic; Set (abstract data type); Human–computer interaction; Design elements and principles; Software engineering; Artificial intelligence; Programming language","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":[0.02754937,0.003465862,0.0008255962,0.005707752,0.001359939,0.008197577,0.002927447,0.001950498,0.004096381],"category_scores_gemma":[0.09575257,0.001014689,0.00125005,0.002134043,0.003095365,0.003855027,0.004010587,0.002298908,0.0008219301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006277908,"about_ca_system_score_gemma":0.004878435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003395925,"about_ca_topic_score_gemma":0.005518622,"domain_scores_codex":[0.956431,0.02609963,0.003285092,0.002386849,0.01014293,0.001654365],"domain_scores_gemma":[0.9320236,0.0434516,0.00341333,0.007607752,0.01234628,0.001157382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007263553,0.001682595,0.0131798,0.003575662,0.0003989525,0.0003609319,0.01438712,0.07647025,0.01369126,0.3357386,0.01693502,0.5228534],"study_design_scores_gemma":[0.00146609,0.003718339,0.01235794,0.004595939,0.0006102686,0.0008622754,0.01258485,0.2624581,0.05576875,0.4276541,0.2171277,0.0007956708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1089359,0.0009858946,0.7913049,0.001677436,0.0003037748,0.008876573,0.0005298698,0.002135112,0.08525042],"genre_scores_gemma":[0.2748774,0.0003374738,0.7159734,0.0005529714,0.00002380782,0.003755237,0.0003488656,0.000374489,0.003756531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02754937,"threshold_uncertainty_score":0.1456968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1165381644173448,"score_gpt":0.3941119087420977,"score_spread":0.277573744324753,"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."}}