{"id":"W2098125141","doi":"10.7202/044785ar","title":"Putting Pleasure First: Localizing Japanese Video Games","year":2010,"lang":"en","type":"article","venue":"TTR traduction terminologie rédaction","topic":"Digital Games and Media","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fantasy; Pleasure; Domain (mathematical analysis); Scope (computer science); Video game; Computer science; Process (computing); Aesthetics; Multimedia; Psychology; Artificial intelligence; Art; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005013127,0.0001648618,0.0001786612,0.0001420772,0.0003909873,0.0002010798,0.0002175057,0.0002787965,0.000217604],"category_scores_gemma":[0.0008546397,0.0001609882,0.0001170211,0.0002840463,0.0003645037,0.0009416203,0.00002546264,0.0004398696,0.0001465637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000151573,"about_ca_system_score_gemma":0.0001022878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006186745,"about_ca_topic_score_gemma":0.001687406,"domain_scores_codex":[0.9984522,0.00006806293,0.0002623929,0.0003745601,0.0003732503,0.000469527],"domain_scores_gemma":[0.9991985,0.0001221542,0.0001627492,0.0002493713,0.0001024483,0.0001647541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001728044,0.00008637803,0.001930219,0.00002297212,0.00001627202,0.000009190641,0.008896836,0.00001881261,0.00514709,0.001436791,0.001565849,0.9808523],"study_design_scores_gemma":[0.0002718345,0.00006700092,0.01123372,0.000031472,0.00002833787,0.0000480868,0.007458986,0.00007789426,0.003360901,0.001226887,0.9759257,0.0002691058],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9151377,0.0001039318,0.0002386734,0.005386334,0.007179343,0.0003554705,0.000003862726,0.001026273,0.0705684],"genre_scores_gemma":[0.9844875,0.0002141636,0.0005195371,0.00009768723,0.001571704,0.00003415237,0.00000943012,0.00002027303,0.0130455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9805832,"threshold_uncertainty_score":0.6564909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04653992274223342,"score_gpt":0.3096416194361525,"score_spread":0.2631016966939191,"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."}}