{"id":"W2763459264","doi":"10.1145/3130859.3131438","title":"Racial Diversity in Indie Games","year":2017,"lang":"en","type":"article","venue":"","topic":"Digital Games and Media","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Indie film; Diversity (politics); Racial diversity; Computer science; Base (topology); Multimedia; Sociology; Media studies; Gender studies; Race (biology); Mathematics; Anthropology","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":[0.0001685592,0.00002272788,0.00004463539,0.00001579481,0.0002727275,0.0001119506,0.0002403435,0.00002946025,0.0002196792],"category_scores_gemma":[0.0002447659,0.00002017762,0.00001934093,0.00001757856,0.0001725637,0.0002789249,0.0002013511,0.00003043578,0.00007304878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001981292,"about_ca_system_score_gemma":0.00003645349,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003562801,"about_ca_topic_score_gemma":0.03109826,"domain_scores_codex":[0.9996486,0.000009145856,0.00003154124,0.00006205741,0.0001239565,0.0001246766],"domain_scores_gemma":[0.9998124,0.00001411241,0.00002299024,0.0000841068,0.0000105226,0.00005585126],"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":[0.000005854552,0.00003379545,0.4232621,0.000001225564,0.000002450759,0.00001411434,0.03234512,9.336992e-8,0.000001892118,0.0455978,0.001980245,0.4967553],"study_design_scores_gemma":[0.0001461735,0.000008684364,0.4003476,0.000003813509,0.000001091853,2.520141e-8,0.00337077,7.3946e-7,0.00001238724,0.001894182,0.5941654,0.00004908866],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.410344,0.000004242404,0.000001370273,0.0006146579,0.0001654864,0.00002620131,4.294483e-7,0.000009201977,0.5888344],"genre_scores_gemma":[0.9025493,0.00002302113,0.00002765936,0.000100206,0.00009845743,5.165505e-7,2.048204e-7,8.04599e-7,0.09719986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5921852,"threshold_uncertainty_score":0.9865817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05321513921321942,"score_gpt":0.3336791030333356,"score_spread":0.2804639638201162,"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."}}