{"id":"W4410919448","doi":"10.1177/14614448251336427","title":"The virtual census 2.0: A continued investigation on the representations of gender, race, and age in videogames","year":2025,"lang":"en","type":"article","venue":"New Media & Society","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ubisoft (Canada); Concordia University","funders":"","keywords":"Race (biology); Census; Gender studies; Psychology; Sociology; Multimedia; Computer science; Demography; Population","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":[0.008342359,0.0002296135,0.0003658473,0.003674685,0.001620654,0.004864344,0.001061543,0.0004518711,0.003755806],"category_scores_gemma":[0.03393812,0.0003101693,0.0003167874,0.00363017,0.001675296,0.00711415,0.003782208,0.001151539,0.0005612508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002251932,"about_ca_system_score_gemma":0.00322417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04448724,"about_ca_topic_score_gemma":0.07918319,"domain_scores_codex":[0.9956866,0.001952699,0.0002411714,0.0003071924,0.001472807,0.0003394834],"domain_scores_gemma":[0.9779139,0.009134142,0.003751701,0.001831104,0.006157534,0.001211605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002384878,0.000275015,0.5808412,0.0004972892,0.0000724218,0.0002085212,0.1451932,0.0002619955,0.001022045,0.02378971,0.01054875,0.2370513],"study_design_scores_gemma":[0.000007093591,0.0001712349,0.6779074,0.0009593484,0.00003654358,0.0003128648,0.2311248,0.001111994,0.0009792341,0.003040322,0.08426212,0.00008697963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969788,0.001064557,0.002627506,0.002557237,0.0001530897,0.0001118765,0.001171818,0.0000258307,0.02250019],"genre_scores_gemma":[0.9905104,0.001049761,0.003027339,0.0005463548,0.0000674667,0.0001881365,0.0009969716,0.00004845654,0.003565121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04448724,"threshold_uncertainty_score":0.08845657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04695961941570057,"score_gpt":0.3131111370639016,"score_spread":0.2661515176482011,"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."}}