{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00120914,0.0001280139,0.0002559157,0.002046337,0.002457514,0.001580006,0.0004950218,0.0003512462,0.003445596],"category_scores_gemma":[0.008013973,0.0001052849,0.0001332547,0.001273012,0.001021932,0.001043666,0.001747163,0.000447723,0.0002899424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007115375,"about_ca_system_score_gemma":0.0005417583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01995466,"about_ca_topic_score_gemma":0.05878517,"domain_scores_codex":[0.9983839,0.0006547954,0.0000759129,0.0002479751,0.0003148604,0.0003225217],"domain_scores_gemma":[0.9972863,0.0005551943,0.0008509582,0.0001873907,0.000615994,0.0005041424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001882826,0.000179787,0.9273463,0.00005435685,0.00005903111,0.0001960185,0.03568087,0.00009820571,0.0008529685,0.006073286,0.001493043,0.02777776],"study_design_scores_gemma":[0.000004408105,0.00006067626,0.9578336,0.0001149446,0.00002919467,0.0002983982,0.03468461,0.0003903749,0.000328472,0.001381109,0.00486102,0.0000132872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915125,0.0003275701,0.0002387564,0.0003207161,0.00001801876,0.000009100082,0.0000750736,0.000002176474,0.007496257],"genre_scores_gemma":[0.9991705,0.0001267818,0.00007244702,0.00006053989,0.000006544104,0.000005881439,0.00004024574,0.000003064309,0.0005139667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01995466,"threshold_uncertainty_score":0.03967702,"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."}}