{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001208108,0.0007969365,0.0003463725,0.0006805417,0.002448912,0.005932405,0.0008103827,0.0008541722,0.004325078],"category_scores_gemma":[0.0035285,0.0002353491,0.0004381184,0.0005093118,0.007222988,0.005256176,0.006121348,0.001325696,0.0005464304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453354,"about_ca_system_score_gemma":0.000769028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003759998,"about_ca_topic_score_gemma":0.005040232,"domain_scores_codex":[0.9987797,0.0007725353,0.00004237803,0.0001262446,0.0001246951,0.0001544549],"domain_scores_gemma":[0.9992593,0.0002986997,0.00006004638,0.0001264031,0.0001334374,0.0001221983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000351419,0.0001454705,0.004091306,0.0007332294,0.00004199712,0.001752458,0.3819821,0.0009768427,0.01689683,0.4795596,0.00429353,0.1091751],"study_design_scores_gemma":[0.0001721547,0.001364983,0.01942422,0.0009902061,0.0002826688,0.00266354,0.4939976,0.01652324,0.02207646,0.1749314,0.2672901,0.0002834682],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5297117,0.001684453,0.09856545,0.00256154,0.0003508441,0.0002456403,0.00005561551,0.0003816532,0.3664432],"genre_scores_gemma":[0.9816426,0.0002937714,0.008558736,0.0002292435,0.00002444755,0.00007088478,0.00002688133,0.00007111933,0.009082311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005932405,"threshold_uncertainty_score":0.01446885,"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."}}