{"id":"W4206350156","doi":"10.1287/msom.2021.1054","title":"Sustainability in the Fast Fashion Industry","year":2022,"lang":"en","type":"article","venue":"Manufacturing & Service Operations Management","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Fast fashion; Variety (cybernetics); Product (mathematics); Quality (philosophy); Incentive; Flexibility (engineering); Business; Sustainability; Industrial organization; Production (economics); Marketing; Environmental economics; Economics; Microeconomics; Computer science","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001833608,0.0003418889,0.0002145832,0.0008126016,0.00157407,0.0009659657,0.001472714,0.00006684233,0.001405734],"category_scores_gemma":[0.0000273974,0.0003091662,0.00008624718,0.001618275,0.00003436702,0.001115282,0.002317043,0.0008377655,0.0001360351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008221564,"about_ca_system_score_gemma":0.00003442946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002473958,"about_ca_topic_score_gemma":0.001742873,"domain_scores_codex":[0.9971271,0.000135726,0.0004991869,0.0006720205,0.0008683218,0.0006976817],"domain_scores_gemma":[0.9986483,0.00004195382,0.0001141403,0.001052112,0.0001267902,0.00001663656],"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":[0.00005013462,0.0007901634,0.003921637,0.00110963,0.00008004214,0.0003698491,0.001599604,0.8578743,0.000003419792,0.1110384,0.01148812,0.0116747],"study_design_scores_gemma":[0.001438311,0.00002730762,0.09006985,0.00002007906,0.0001340675,0.000006654065,0.2327671,0.0232858,0.00001298727,0.006130117,0.6453466,0.0007610227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8544604,0.00002539167,0.0008958212,0.08786845,0.0005920237,0.004085429,0.000005615693,0.0003200771,0.05174685],"genre_scores_gemma":[0.9724192,0.000002606916,0.0001267491,0.02246385,0.0003127902,0.001921401,0.0001402633,0.00004454005,0.002568586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8345885,"threshold_uncertainty_score":0.999936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026578990048144,"score_gpt":0.221776737353848,"score_spread":0.2115109474533665,"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."}}