{"id":"W4213455131","doi":"10.38055/fs030205","title":"Review: Diversity Now! 2021 with Nigel John, Legin Knits","year":2022,"lang":"en","type":"article","venue":"Fashion Studies","topic":"Crafts, Textile, and Design","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Political science; Law","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000274588,0.0001657732,0.0003291331,0.00006806536,0.003084397,0.00006115124,0.0001739554,0.00001077535,0.005061085],"category_scores_gemma":[0.00002964846,0.0001279128,0.00008342417,0.0000819787,0.0002669034,0.0001473093,0.0006116756,0.0001713703,0.0003752885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006738175,"about_ca_system_score_gemma":0.00002649537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003978695,"about_ca_topic_score_gemma":0.00102133,"domain_scores_codex":[0.9989144,0.0001047392,0.0001681159,0.0002560629,0.0003367394,0.000219985],"domain_scores_gemma":[0.9993569,0.00009295025,0.00009656739,0.0002144285,0.0001983197,0.0000407824],"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":[0.0000328866,0.00008026413,0.0006899141,0.0002008581,0.0001723777,0.00003354821,0.03671667,0.000005398506,0.000004392676,0.00598016,0.954429,0.001654583],"study_design_scores_gemma":[0.0002849966,0.0001826018,0.0002789641,0.0001295948,0.00009345534,0.000003715369,0.03971863,0.000002120271,0.000003236732,0.00008976019,0.9590132,0.0001997745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2498027,0.3386174,0.0001079676,0.01317342,0.004800891,0.002290274,0.0005571677,0.0005359161,0.3901142],"genre_scores_gemma":[0.8193083,0.02607458,0.00003240172,0.005490899,0.0008692968,0.0001841733,0.0000431845,0.00003376651,0.1479633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5695056,"threshold_uncertainty_score":0.9982135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0831221812496419,"score_gpt":0.2653848574430713,"score_spread":0.1822626761934294,"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."}}