{"id":"W4412005754","doi":"10.1075/dt.25006.zor","title":"Explorative study on how indie developers approach game localization","year":2025,"lang":"en","type":"article","venue":"Digital Translation","topic":"Educational Games and Gamification","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Indie film; Computer science; Human–computer interaction; Sociology; Media studies","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001130483,0.0001370648,0.0001174357,0.0001986956,0.00006756539,0.0001490831,0.0001023108,0.00007915468,0.00002384009],"category_scores_gemma":[0.00002774436,0.0001307613,0.00004159335,0.0005399061,0.00003821313,0.0003687912,0.000004955041,0.00009693016,0.00008433637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005126935,"about_ca_system_score_gemma":0.00004729078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004436326,"about_ca_topic_score_gemma":0.000003175241,"domain_scores_codex":[0.9990721,0.00007010445,0.0001949057,0.0003466018,0.0001775939,0.0001386394],"domain_scores_gemma":[0.9995165,0.00008267784,0.00006579782,0.0002046778,0.00009795868,0.00003241644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005089241,0.006132783,0.1062199,0.00005532808,0.0004927299,0.000002991914,0.1752129,0.001782524,0.00008244342,0.1249274,0.003393161,0.5811889],"study_design_scores_gemma":[0.003483244,0.0006835073,0.7911301,0.00008120612,0.00009462944,0.000002351157,0.1392139,0.002000969,0.0001994398,0.006060716,0.05635373,0.0006962211],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2921152,0.0002047019,0.4149365,0.002772111,0.0008050371,0.001847996,0.0000432546,0.0001943263,0.2870809],"genre_scores_gemma":[0.9958448,0.000002232953,0.0001501773,0.0001772394,0.00004906835,0.0002120809,0.0004851673,0.0000142824,0.003064881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7037296,"threshold_uncertainty_score":0.5332292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08610280517285564,"score_gpt":0.3466086713707855,"score_spread":0.2605058661979299,"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."}}