{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02695248,0.00107213,0.000845728,0.003921844,0.03571971,0.02421665,0.004272935,0.007911565,0.02548261],"category_scores_gemma":[0.116524,0.001259583,0.0008722287,0.001777593,0.01907961,0.02480208,0.01815602,0.0181415,0.008697798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008273883,"about_ca_system_score_gemma":0.01716488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02555011,"about_ca_topic_score_gemma":0.04078628,"domain_scores_codex":[0.9669935,0.01781538,0.001299516,0.001981402,0.009352233,0.00255806],"domain_scores_gemma":[0.930073,0.03126873,0.002633101,0.006577133,0.01735311,0.01209494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004945153,0.0002234774,0.0009903142,0.0003918411,0.0000255958,0.0008732544,0.1126097,0.0004145279,0.001200971,0.08328406,0.5258715,0.2740652],"study_design_scores_gemma":[0.00001523615,0.00002962846,0.0005658443,0.0005458098,0.00001338138,0.0003616156,0.0249459,0.0004282925,0.0002975397,0.01428225,0.9584411,0.00007341518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.02208056,0.01389107,0.1291758,0.3836266,0.0344501,0.001373865,0.0001008607,0.003541914,0.4117593],"genre_scores_gemma":[0.2596576,0.01083847,0.2249745,0.08305301,0.01494093,0.00238407,0.0003499514,0.006259522,0.3975419],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9757833,"threshold_uncertainty_score":0.14254,"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."}}