{"id":"W4385064934","doi":"10.1080/01419870.2023.2238041","title":"Race and digital media: an introduction","year":2023,"lang":"en","type":"article","venue":"Ethnic and Racial Studies","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Race (biology); Sociology; Gender studies; Political science; Computer science","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":[0.0004947917,0.00005890091,0.0001288124,0.00003107522,0.0009757431,0.00003635319,0.00006128843,0.0000403291,0.000006926359],"category_scores_gemma":[0.0008008484,0.00004844974,0.00001313773,0.0002334201,0.0005646485,0.0002283543,0.0001441513,0.00007566807,0.00001175538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000163835,"about_ca_system_score_gemma":0.00001362158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009826674,"about_ca_topic_score_gemma":0.002787912,"domain_scores_codex":[0.9993908,0.00007547656,0.00009014625,0.0001437968,0.0001476146,0.0001521263],"domain_scores_gemma":[0.9995282,0.0002378377,0.0000330484,0.00008378737,0.00006105364,0.00005612064],"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":[0.0000182401,0.00002070513,0.001956212,0.00001203091,0.00006551352,0.000001715977,0.4371233,5.385556e-7,0.00001918536,0.03229073,0.01456995,0.5139219],"study_design_scores_gemma":[0.0002502677,0.00006832489,0.05708646,0.00001067747,0.00003041936,7.097782e-7,0.3738717,0.00001584833,0.00000637583,0.01192192,0.5565575,0.0001797725],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8802152,0.02873427,0.000007933968,0.08588514,0.001151351,0.0001888218,0.000006043876,0.0001974932,0.003613803],"genre_scores_gemma":[0.8944733,0.1026031,0.00002215026,0.00006213522,0.001582726,0.00001814082,0.000008189581,0.000004452617,0.001225799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5419875,"threshold_uncertainty_score":0.7504726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09651635077727444,"score_gpt":0.4019261194299208,"score_spread":0.3054097686526464,"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."}}