{"id":"W2530695086","doi":"10.1037/t9999-98544-000","title":"Gamification User Types Hexad Scale","year":2016,"lang":"en","type":"article","venue":"PsycTESTS Dataset","topic":"Educational Games and Gamification","field":"Psychology","cited_by":560,"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; Österreichische Forschungsförderungsgesellschaft; University of Waterloo; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Scale (ratio); Preference; Reliability (semiconductor); Big Five personality traits; Computer science; Personality; Psychology; Mathematics; Statistics; Social psychology; Physics","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":[0.001575537,0.0003932056,0.0003555381,0.001320408,0.0003913637,0.0008519486,0.0003970497,0.0005124008,0.01277152],"category_scores_gemma":[0.008566443,0.0001860346,0.0005172382,0.0005825604,0.0002960028,0.0006499168,0.001340592,0.000850554,0.002492091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004255009,"about_ca_system_score_gemma":0.0003353631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00081754,"about_ca_topic_score_gemma":0.002246082,"domain_scores_codex":[0.9989946,0.0003628496,0.0001250953,0.00006141721,0.0003533123,0.0001026507],"domain_scores_gemma":[0.9969723,0.001067342,0.0004075278,0.0003353946,0.000792069,0.0004253125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001794594,0.001611945,0.5846652,0.001018887,0.0002535906,0.0004769629,0.006758286,0.002203821,0.003459739,0.01001496,0.03890675,0.3488353],"study_design_scores_gemma":[0.0002519685,0.0009621544,0.8522697,0.000306561,0.0001240251,0.00125191,0.005344321,0.006338255,0.002165355,0.008683276,0.1221514,0.0001509998],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931008,0.0004062847,0.01029275,0.0006115008,0.0001183272,0.002393551,0.006918386,0.0006456214,0.04760565],"genre_scores_gemma":[0.9533622,0.0004183545,0.02376677,0.0002754719,0.00002952065,0.003833532,0.005120731,0.00007383278,0.01311955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01277152,"threshold_uncertainty_score":0.04272497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03192062030584383,"score_gpt":0.3505061121759676,"score_spread":0.3185854918701238,"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."}}