{"id":"W4395040352","doi":"10.1353/vcr.2023.a925209","title":"COVE and Open Assembly: How to Deal with the Structural Racism of the Traditional Print Anthology","year":2023,"lang":"en","type":"article","venue":"Victorian review","topic":"Latin American and Latino Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cove; Racism; History; Sociology; Gender studies; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005365789,0.0000661481,0.0002138864,0.00001080919,0.0003724837,0.00005366711,0.0004135861,0.00001723862,0.00003998951],"category_scores_gemma":[0.0001088062,0.00002944537,0.00003221458,0.0004839121,0.0002905234,0.00007337298,0.0001921663,0.00006540036,0.000004554852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000176597,"about_ca_system_score_gemma":0.0001024173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001007508,"about_ca_topic_score_gemma":0.0004277646,"domain_scores_codex":[0.9991405,0.0002879806,0.00009497498,0.0001280936,0.000210123,0.0001383461],"domain_scores_gemma":[0.9994535,0.0002060928,0.0001015928,0.0001396356,0.0000556229,0.00004348885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001823186,0.00001861157,0.01221352,0.0004867583,0.0001804275,0.0000088078,0.03910163,0.000002912517,0.0001151754,0.7764084,0.04902359,0.122422],"study_design_scores_gemma":[0.00009998484,0.00005127674,0.1564213,0.0002772367,0.00002893195,0.000003205937,0.0009446846,0.000001672729,0.000007250567,0.0008083179,0.8412757,0.00008039963],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1432137,0.01389972,0.0001757596,0.7407203,0.00111953,0.005719701,0.00009159767,0.0001271962,0.09493244],"genre_scores_gemma":[0.9897905,0.00623487,0.0005907317,0.002319538,0.0002039928,0.00006337639,0.000001835345,0.000006297844,0.0007888319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8465768,"threshold_uncertainty_score":0.2864881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05980589589840202,"score_gpt":0.3476040315830594,"score_spread":0.2877981356846574,"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."}}