{"id":"W4313566779","doi":"10.1177/15554120221150342","title":"Background Checks: Disentangling Class, Race, and Gender in CRPG Character Creators","year":2023,"lang":"en","type":"article","venue":"Games and Culture","topic":"Digital Games and Media","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Narrative; Character (mathematics); Fantasy; Scholarship; Identity (music); Class (philosophy); Sociology; Race (biology); Aesthetics; Gender studies; Computer science; Literature; Art","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000163032,0.00009128959,0.0001338504,0.0000360408,0.00007698762,0.0001820524,0.00005770309,0.0001009811,0.00005180055],"category_scores_gemma":[0.00003740047,0.0000697614,0.00003119267,0.0002320991,0.0001304922,0.000243041,0.00004290066,0.0001002368,0.00002061358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001869443,"about_ca_system_score_gemma":0.0000224675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000334812,"about_ca_topic_score_gemma":0.0003430029,"domain_scores_codex":[0.9992743,0.00002516744,0.00009857009,0.0001955638,0.0001451595,0.0002612585],"domain_scores_gemma":[0.999739,0.00001969282,0.00002680804,0.00005911552,0.00001901429,0.0001363694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004588747,0.0001127962,0.210984,0.0001573659,0.00007442632,0.0001673333,0.3794858,0.000001918726,0.0004929088,0.03209241,0.04684637,0.3295388],"study_design_scores_gemma":[0.0002247062,0.00001135406,0.06800969,0.00002809367,0.000008786837,0.000001823855,0.02967697,0.0000158251,0.000007258609,0.001214097,0.9006793,0.0001220729],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9083691,0.001535458,7.03031e-7,0.001070705,0.0001961335,0.0001192063,0.00001070704,0.0000573188,0.08864065],"genre_scores_gemma":[0.8768083,0.007265833,0.00002790659,0.0004254607,0.0003650317,0.0000137427,0.00002181047,0.00001115955,0.1150607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.853833,"threshold_uncertainty_score":0.2844788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03207650599666114,"score_gpt":0.3054125116186268,"score_spread":0.2733360056219656,"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."}}