{"id":"W4401195082","doi":"10.5539/ass.v20n4p39","title":"Empowering Fashion Design and Intelligent Manufacturing with Digital Twins in the Metaverse Era","year":2024,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clothing; Digital transformation; Fast fashion; Fashion industry; Business model; Computer science; Value (mathematics); Digital economy; Business; Manufacturing engineering; Marketing; Engineering; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001885227,0.0005176286,0.0003401144,0.001589382,0.001939438,0.009122417,0.0006942274,0.001425238,0.01119489],"category_scores_gemma":[0.002060622,0.0003511297,0.0005516346,0.001165562,0.004309977,0.012875,0.008792447,0.001824239,0.001819553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089371,"about_ca_system_score_gemma":0.001126453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003964627,"about_ca_topic_score_gemma":0.0008990993,"domain_scores_codex":[0.9989759,0.0004352402,0.00004743652,0.0001057166,0.0002981728,0.0001376492],"domain_scores_gemma":[0.999074,0.0002629848,0.00006100719,0.0003154975,0.0001159657,0.0001705765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006046663,0.0000618943,0.000917912,0.0001670883,0.00001719736,0.0003202876,0.005525235,0.0008602315,0.005616309,0.8764566,0.003251107,0.1067459],"study_design_scores_gemma":[0.00002400074,0.0001825683,0.001037909,0.0003532481,0.00005134109,0.001225182,0.008353803,0.007922977,0.01207568,0.4581052,0.5106213,0.00004687583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0958898,0.004016829,0.3155708,0.005890846,0.0008641506,0.00009615418,0.00006606986,0.001069352,0.5765361],"genre_scores_gemma":[0.7788136,0.004364244,0.1288533,0.001496372,0.0004056115,0.0001077284,0.0001117831,0.0004265729,0.08542079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01119489,"threshold_uncertainty_score":0.03745061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898071511413536,"score_gpt":0.2547152009172357,"score_spread":0.2357344858031004,"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."}}