{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001876819,0.0001053964,0.00008738346,0.00006594738,0.00005022638,0.00002383891,0.0002539598,0.00007059472,0.004768897],"category_scores_gemma":[0.00005762505,0.00007447624,0.00002536274,0.0001422967,0.00007106919,0.0001601076,0.00002315534,0.00005168718,0.01184824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002987308,"about_ca_system_score_gemma":0.00002161391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006325819,"about_ca_topic_score_gemma":0.00003816627,"domain_scores_codex":[0.9990422,0.00006597625,0.0002020313,0.000356081,0.0001310817,0.0002026631],"domain_scores_gemma":[0.9988124,0.0001431306,0.00009331419,0.0008055564,0.00006074662,0.00008480598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002679623,0.0002431104,0.02429404,0.000004684849,0.00002291283,8.883699e-7,0.0002063479,1.672615e-7,0.002781722,0.01602976,0.9188208,0.03756879],"study_design_scores_gemma":[0.0002147758,0.00002039366,0.3128681,0.00001065112,0.00001151328,0.000008254771,0.00005102963,8.340168e-7,0.0001704663,0.0006592075,0.6858869,0.00009782593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7248382,0.002363923,0.01356822,0.08388929,0.008456041,0.001835207,0.1279836,0.000729878,0.03633564],"genre_scores_gemma":[0.9461299,0.00009103199,0.001626385,0.001686899,0.0007225006,0.0002190947,0.03335991,0.00004327239,0.01612096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2885741,"threshold_uncertainty_score":0.9961409,"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."}}