{"id":"W4307715686","doi":"10.1145/3549507","title":"miniPXI: Development and Validation of an Eleven-Item Measure of the Player Experience Inventory","year":2022,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Educational Games and Gamification","field":"Psychology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Saskatchewan","funders":"","keywords":"Reliability (semiconductor); Scale (ratio); Measure (data warehouse); Applied psychology; Psychology; Validity; Computer science; Content validity; Psychometrics; Data mining; Clinical psychology; Geography; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003175048,0.00008850631,0.0001125604,0.00009014163,0.0001530601,0.00001388921,0.0006564686,0.00003274822,0.00008575416],"category_scores_gemma":[0.00006098573,0.0000656455,0.00005181933,0.0001465566,0.00005659628,0.0001610581,0.0002615255,0.0001566669,9.912619e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007855453,"about_ca_system_score_gemma":0.0000207587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002569387,"about_ca_topic_score_gemma":0.000001810536,"domain_scores_codex":[0.9989964,0.00004120506,0.0003505728,0.0002120395,0.0003191333,0.0000805954],"domain_scores_gemma":[0.9988495,0.00005284997,0.0006110927,0.0002797265,0.0001877844,0.00001901851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0007042168,0.002995481,0.1328002,0.0003433524,0.0003255512,1.593264e-7,0.4010584,0.0002842182,0.3542995,0.03128452,0.008629887,0.06727453],"study_design_scores_gemma":[0.0005179914,0.0004049424,0.5293154,0.0001904293,0.00003644611,0.00002702946,0.01609324,0.0003008617,0.4433683,0.001750561,0.007804438,0.0001903928],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997776,0.00001712967,0.00001142161,0.0004024101,0.0008538654,0.0002336201,0.000002316756,0.000008876928,0.000694396],"genre_scores_gemma":[0.9988402,5.077226e-7,0.0005769638,0.00009180266,0.00008047968,0.00007910178,0.000004244746,0.000009450746,0.0003172934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3965151,"threshold_uncertainty_score":0.2676946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09465823428975312,"score_gpt":0.3585803974656985,"score_spread":0.2639221631759454,"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."}}