{"id":"W3081270926","doi":"10.38055/fs020205","title":"Diversity Now! Sequins, Style &amp; the End of Gender with Dr. Madison Moore","year":2020,"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":"Toronto Metropolitan University","funders":"","keywords":"Style (visual arts); Diversity (politics); Lesbian; Power (physics); Biography; Commonwealth; Human sexuality; Media studies; Politics; Sociology; History; Clothing; Art history; Gender studies; Library science; Art; Visual arts; Political science; Anthropology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006611448,0.0001446419,0.0002236704,0.00001623575,0.001082885,0.00003574743,0.0001771054,0.00002130711,0.001005766],"category_scores_gemma":[0.00002383238,0.00007302673,0.00007585971,0.00004855782,0.0004990427,0.0001292757,0.0004090098,0.0001086437,0.000160083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001472179,"about_ca_system_score_gemma":0.000008793051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001602523,"about_ca_topic_score_gemma":0.001995159,"domain_scores_codex":[0.9992229,0.00004367197,0.0001434245,0.0001755984,0.000263796,0.0001505619],"domain_scores_gemma":[0.9995198,0.00005309691,0.00009196759,0.0001288574,0.0001618484,0.00004449363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005607498,0.00004772799,0.003299125,0.0001309836,0.0004035791,0.000004126437,0.8079902,0.00001023256,0.0001396992,0.04230729,0.1450361,0.0005748727],"study_design_scores_gemma":[0.0005094736,0.0001812011,0.005160383,0.00003307308,0.0001229638,0.00000133718,0.5163946,0.00000943026,0.00006570666,0.0001798519,0.4771011,0.0002407967],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669511,0.0005488277,0.00000794744,0.006206665,0.0001556077,0.0001625531,0.00005571229,0.00007976064,0.0258318],"genre_scores_gemma":[0.991087,0.0002546957,0.00001617207,0.001141405,0.0002053218,0.000006799206,0.00001056716,0.000008207307,0.007269871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.332065,"threshold_uncertainty_score":0.9999074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1877188060950026,"score_gpt":0.2818493167118973,"score_spread":0.09413051061689476,"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."}}