{"id":"W1971652511","doi":"10.7202/1013949ar","title":"Censorship and Digital Games Localisation in China","year":2013,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Digital Games and Media","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Censorship; Transparency (behavior); Censoring (clinical trials); China; Scope (computer science); Standardization; Mainland China; Advertising; Political science; Internet privacy; Computer science; Public relations; Sociology; Law; Business; Economics","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":[0.001893731,0.0002272209,0.0002936717,0.002092873,0.002696426,0.002705197,0.0007060832,0.0005374503,0.00362044],"category_scores_gemma":[0.00557902,0.0001725777,0.0002292058,0.003041339,0.004993319,0.001749341,0.002598904,0.0006463641,0.0001587995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006866411,"about_ca_system_score_gemma":0.005024226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07946572,"about_ca_topic_score_gemma":0.105412,"domain_scores_codex":[0.9984071,0.0005278334,0.0001328123,0.0002418834,0.0003314514,0.0003588879],"domain_scores_gemma":[0.9955942,0.001513825,0.001546634,0.0003157571,0.00047095,0.000558553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003500212,0.0002148767,0.644495,0.000542413,0.0001262655,0.004349885,0.1393586,0.00311816,0.001842924,0.07856312,0.002452497,0.1245863],"study_design_scores_gemma":[0.00003666449,0.0001907134,0.8998756,0.0002532298,0.00008847522,0.0005475426,0.05602602,0.005785913,0.001066766,0.01073749,0.02528678,0.0001048233],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987339,0.0006895793,0.0004379959,0.0007455466,0.0000108428,0.00001912573,0.00003220133,0.00001181185,0.01071385],"genre_scores_gemma":[0.9988254,0.0001386398,0.00006250619,0.00002063289,0.000002526164,0.000003703064,0.000009719442,0.000001531537,0.0009352772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07946572,"threshold_uncertainty_score":0.1580064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03127533889507908,"score_gpt":0.2686893627943805,"score_spread":0.2374140238993015,"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."}}