{"id":"W4411922097","doi":"10.1016/j.cognition.2025.106218","title":"Evaluating commercial game design decisions via the scientification of games: Asymmetrical task switching errors predict self-reported fun in Ghost Blitz","year":2025,"lang":"en","type":"article","venue":"Cognition","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Gambling Research Institute, University of Calgary; Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Task (project management); Task switching; Cognitive psychology; Social psychology; Cognition; Neuroscience; Management","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":[],"consensus_categories":[],"category_scores_codex":[0.00368381,0.0001542996,0.0002110643,0.0007185517,0.0002815332,0.0001834391,0.000847719,0.0001088011,0.00001197089],"category_scores_gemma":[0.004925025,0.0001291387,0.00008584037,0.00353065,0.0001310556,0.0004991306,0.0002498613,0.000294586,0.00003645008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001243319,"about_ca_system_score_gemma":0.0002953241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005421628,"about_ca_topic_score_gemma":0.00004863286,"domain_scores_codex":[0.9970323,0.0005654678,0.0008951882,0.0005229586,0.0006850667,0.0002989936],"domain_scores_gemma":[0.9959441,0.002372878,0.0003806758,0.0006483221,0.000596383,0.00005767779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005393129,0.000479583,0.002379219,0.00002017693,0.00006271555,0.000006918451,0.004234884,0.003362411,0.02804275,0.002151978,0.0004406024,0.9587649],"study_design_scores_gemma":[0.0002337797,0.0001142635,0.02626165,0.0002793604,0.00008843399,0.000007719379,0.0003581201,0.8886009,0.0449664,0.038825,0.00009740993,0.0001669545],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1927727,0.00009564841,0.8047404,0.0006205783,0.0005365571,0.0006203442,0.000002689851,0.000113189,0.0004978905],"genre_scores_gemma":[0.9760723,0.00001713987,0.02355099,0.0001989385,0.00003841236,0.00008245678,0.00001155384,0.000007877605,0.0000203238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9585979,"threshold_uncertainty_score":0.5896071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1321466791048984,"score_gpt":0.3868159363492263,"score_spread":0.2546692572443279,"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."}}