{"id":"W4210247128","doi":"10.38055/fs030202","title":"Review: Diversity Now! 2020 with Becca McCharen-Tran, CHROMAT","year":2021,"lang":"en","type":"article","venue":"Fashion Studies","topic":"Fashion and Cultural Textiles","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Geography; Sociology; Anthropology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008019633,0.0001961815,0.0003694124,0.00001369913,0.0009859505,0.00007342615,0.0001281126,0.00002435774,0.003082095],"category_scores_gemma":[0.0000455458,0.0001270639,0.0001120673,0.00007431377,0.0002279245,0.000211255,0.0002847694,0.0001178035,0.0007038472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003088726,"about_ca_system_score_gemma":0.00001903791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006489425,"about_ca_topic_score_gemma":0.003406514,"domain_scores_codex":[0.9990158,0.00005736902,0.0001858714,0.0002819249,0.0002495712,0.0002094654],"domain_scores_gemma":[0.9991915,0.00004781981,0.00007640993,0.0001917029,0.0004329331,0.00005958547],"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":[0.00001263198,0.00007571886,0.0004681909,0.0008900908,0.0003236652,0.00008795592,0.03944241,4.477888e-7,0.00006404291,0.01027775,0.9470863,0.001270811],"study_design_scores_gemma":[0.0003717892,0.0001033138,0.001012195,0.001202758,0.0001523553,0.0000150926,0.06762003,0.000001293664,0.00006097087,0.00006148107,0.9290949,0.0003038602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.62855,0.156211,0.000006808828,0.02648111,0.001900706,0.0007027028,0.0002210955,0.0006824245,0.1852441],"genre_scores_gemma":[0.7195228,0.1541823,0.00009167063,0.01275832,0.0008748217,0.00004896273,0.0001135805,0.00003090499,0.1123767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09097281,"threshold_uncertainty_score":0.9978292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07529292008788616,"score_gpt":0.2756621174359724,"score_spread":0.2003691973480863,"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."}}