{"id":"W3081135486","doi":"10.38055/fs020104","title":"Custom Clothing Technology: Diffusion of Luxury Practices in Fashion","year":2019,"lang":"en","type":"article","venue":"Fashion Studies","topic":"Fashion and Cultural Textiles","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clothing; Business; Fashion industry; Service (business); Fashion design; Marketing; Fast fashion; Computer science; Political science","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":[0.00418109,0.0003393397,0.0002561168,0.003204217,0.002539487,0.007450216,0.0008858349,0.001482852,0.005370494],"category_scores_gemma":[0.01304559,0.0003799137,0.0004662304,0.004055182,0.006330299,0.006820921,0.00414335,0.001324686,0.0005277306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004429522,"about_ca_system_score_gemma":0.001756781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005323873,"about_ca_topic_score_gemma":0.004890548,"domain_scores_codex":[0.9954796,0.00228652,0.0002620446,0.0006462464,0.0009495041,0.0003761561],"domain_scores_gemma":[0.9881578,0.007980137,0.00163884,0.0009608937,0.0008307146,0.0004316708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001644752,0.0001190283,0.06535698,0.0005188048,0.00003695278,0.002841746,0.7291771,0.0003936758,0.004954992,0.07874687,0.001158415,0.116531],"study_design_scores_gemma":[0.00003873252,0.0003823614,0.1776768,0.00102837,0.00006842674,0.00581819,0.6443886,0.002613102,0.004340939,0.02163281,0.1418653,0.0001464253],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8886226,0.00157612,0.006378836,0.001333373,0.00005727876,0.0001136508,0.00007531118,0.00004857779,0.1017943],"genre_scores_gemma":[0.9940261,0.0006788977,0.001373585,0.00007357549,0.00001515507,0.00003538594,0.00002731494,0.00001917906,0.003750744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007450216,"threshold_uncertainty_score":0.03213859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07557355150351329,"score_gpt":0.3183163155972468,"score_spread":0.2427427640937335,"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."}}