{"id":"W4285465163","doi":"10.32920/ryerson.14637945","title":"Undressing Fashion Metadata: Ryerson University Fashion Research Collection","year":2021,"lang":"en","type":"preprint","venue":"","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":"Metadata; Computer science; World Wide Web; Domain (mathematical analysis); Data collection; Meta Data Services; Data element; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009283574,0.0002667908,0.0005260517,0.006959019,0.006826932,0.008384199,0.0008163335,0.0006408053,0.02345934],"category_scores_gemma":[0.01377759,0.0005452787,0.000345284,0.01182131,0.001864112,0.004947495,0.008894361,0.001916647,0.01150872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003193829,"about_ca_system_score_gemma":0.006778253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02070624,"about_ca_topic_score_gemma":0.06921784,"domain_scores_codex":[0.9938794,0.001925532,0.0004629297,0.0006331362,0.002632953,0.000466034],"domain_scores_gemma":[0.9851846,0.002090521,0.0006002779,0.006685901,0.003780899,0.001657922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004414885,0.0002691132,0.01062532,0.0007250294,0.00003044223,0.0009293481,0.04460254,0.0004812537,0.01847928,0.04740649,0.421391,0.4546187],"study_design_scores_gemma":[0.00000983477,0.00003877231,0.008227505,0.0001421311,0.000007381669,0.0001237578,0.007182213,0.0001475577,0.00368629,0.001067122,0.9793297,0.00003783012],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.2138963,0.003582274,0.04183523,0.01625711,0.003275784,0.002137472,0.03841156,0.01118268,0.6694216],"genre_scores_gemma":[0.2751499,0.003766649,0.1464189,0.002265116,0.001350491,0.001785709,0.0456731,0.00908189,0.5145082],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9792938,"threshold_uncertainty_score":0.07847935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.215981722553949,"score_gpt":0.3233664128378824,"score_spread":0.1073846902839335,"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."}}