{"id":"W199614352","doi":"10.1007/978-3-319-04271-8_9","title":"Delays in the Apparel Manufacturing Industry’s Implementation of Mass Customization","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in production engineering","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal","funders":"","keywords":"Mass customization; Clothing; Context (archaeology); Globalization; Business; Personalization; Clothing industry; Competition (biology); Textile industry; Manufacturing; Manufacturing engineering; Marketing; Engineering; Industrial organization; Commerce; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006653978,0.0003263073,0.0002982711,0.0008660093,0.00005256164,0.00007415032,0.0002289358,0.0003649283,0.0001149086],"category_scores_gemma":[0.0001660901,0.0002943231,0.00005452931,0.0002651421,0.00001969741,0.000380365,0.00004705923,0.0006998818,0.00001624656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311669,"about_ca_system_score_gemma":0.0000263719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006018085,"about_ca_topic_score_gemma":0.0001379177,"domain_scores_codex":[0.9984347,0.000009195525,0.0005638078,0.0004223048,0.0003276148,0.0002424058],"domain_scores_gemma":[0.9991914,0.00003317488,0.0003798835,0.0003005528,0.00008891639,0.000006047977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003923131,0.00002164695,0.003257066,0.001070285,0.00005793315,0.000006030159,0.0005913157,0.9058012,0.000945746,0.0112529,0.0005903647,0.07636626],"study_design_scores_gemma":[0.008837309,0.0001300872,0.05773954,0.006380957,0.001287709,0.00008989429,0.0006834009,0.1034368,0.1158845,0.07622036,0.6194398,0.009869682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1437182,0.001934665,0.7398278,0.01483396,0.01618401,0.01113971,0.00002131207,0.001324249,0.0710161],"genre_scores_gemma":[0.9964048,0.0000314608,0.0005616734,0.0001837105,0.001932204,0.00004557395,0.0002129248,0.00007467224,0.0005530319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8526865,"threshold_uncertainty_score":0.9999509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008799864348994439,"score_gpt":0.2010655965589824,"score_spread":0.1922657322099879,"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."}}