{"id":"W2052930128","doi":"10.1155/2015/208247","title":"Investigating Variations in Gameplay: Cognitive Implications","year":2015,"lang":"en","type":"article","venue":"International Journal of Computer Games Technology","topic":"Educational Games and Gamification","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Cognition; Human–computer interaction; Computer science; Variation (astronomy); Exploratory research; Game mechanics; Minor (academic); Game design; Psychology; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005182807,0.0006932701,0.0004268446,0.001727863,0.001101307,0.004083993,0.001049731,0.0008605582,0.001488834],"category_scores_gemma":[0.04701721,0.000419271,0.000481565,0.0009379149,0.005974078,0.003246338,0.002676874,0.001748325,0.00008889001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292793,"about_ca_system_score_gemma":0.0005770994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0020537,"about_ca_topic_score_gemma":0.002055665,"domain_scores_codex":[0.9920877,0.004459985,0.0004074794,0.0009452699,0.001753251,0.0003463512],"domain_scores_gemma":[0.9480367,0.04436542,0.002477312,0.002434706,0.001901471,0.0007844276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001660661,0.00190989,0.2302294,0.002018815,0.0005152508,0.001826186,0.3298584,0.006294115,0.08951917,0.09947405,0.001617369,0.2350767],"study_design_scores_gemma":[0.0001627923,0.001710511,0.6207287,0.0004892178,0.0003316934,0.002066353,0.1450158,0.01809592,0.01683941,0.181889,0.01235006,0.000320539],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683441,0.0004199308,0.01719657,0.0009580702,0.0000307394,0.0002152056,0.00004722361,0.0000781838,0.01271007],"genre_scores_gemma":[0.9932449,0.0001104658,0.006160143,0.000107822,0.00001097298,0.00007871522,0.00001967044,0.00001928834,0.0002479618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005182807,"threshold_uncertainty_score":0.02740961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04367027914552744,"score_gpt":0.3701469412193138,"score_spread":0.3264766620737863,"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."}}