{"id":"W4393903023","doi":"10.32920/19904998","title":"Undressing fashion metadata: Ryerson University Fashion Research Collection","year":2024,"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":"","funders":"","keywords":"Metadata; Fashion design; World Wide Web; Data collection; Computer science; Database; Clothing; Sociology; History; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006221127,0.000289599,0.0003102792,0.000517088,0.001153618,0.002270569,0.0003981055,0.0002743274,0.003772088],"category_scores_gemma":[0.0000371164,0.000236968,0.0002331972,0.0001763167,0.0003345302,0.0004277933,0.001175948,0.001689889,0.0009925636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004340232,"about_ca_system_score_gemma":0.0001946672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008086328,"about_ca_topic_score_gemma":0.01510266,"domain_scores_codex":[0.9977119,0.0003614746,0.000234231,0.0007014229,0.0006075504,0.0003834539],"domain_scores_gemma":[0.9989506,0.00009741972,0.000081673,0.0003770847,0.000384314,0.0001089376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002557873,0.00006599352,0.000004611038,0.0004123836,0.0001449849,0.00004423702,0.03807878,0.00001692517,0.0002116267,0.7742114,0.1844235,0.002359928],"study_design_scores_gemma":[0.000277841,0.0001011809,0.00006998266,0.0005362528,0.0001816844,0.000005934642,0.3031156,0.0009151336,0.0001277604,0.007161671,0.6868352,0.0006717928],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3269458,0.0001909494,0.00006291171,0.002864774,0.003928611,0.0005886237,0.0001158104,0.0006893885,0.6646131],"genre_scores_gemma":[0.5806798,0.0002063134,0.00004833212,0.00005090317,0.0005858297,0.000003027307,0.000167313,0.00002391137,0.4182346],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7670497,"threshold_uncertainty_score":0.9997853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2039363577953474,"score_gpt":0.3322132317733192,"score_spread":0.1282768739779718,"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."}}