{"id":"W4242289364","doi":"10.32920/ryerson.14654916.v1","title":"Regenerative Abundance: Fast and Sustainable Apparel Production in Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Crafts, Textile, and Design","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Fast fashion; Clothing; Sustainability; Product (mathematics); Production (economics); Business; Incentive; Pace; Marketing; Supply chain; Exploratory research; Upstream (networking); Economics; Engineering; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005191499,0.0002494393,0.0001659899,0.0006309247,0.008021527,0.002292222,0.0006608794,0.0006088321,0.01060557],"category_scores_gemma":[0.001178129,0.0002670142,0.0001791806,0.001807096,0.005056634,0.0008113694,0.00209951,0.0006672038,0.000374991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03888898,"about_ca_system_score_gemma":0.02234541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8714471,"about_ca_topic_score_gemma":0.9674607,"domain_scores_codex":[0.9993326,0.0001639977,0.0000208784,0.00008417606,0.0001847135,0.0002135427],"domain_scores_gemma":[0.9990626,0.0003372122,0.0001013422,0.00005225393,0.0001456108,0.0003009643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001333503,0.00004088334,0.02472423,0.0006015096,0.00001617945,0.006308343,0.9086558,0.0009672769,0.005634822,0.02289304,0.007524296,0.02250025],"study_design_scores_gemma":[0.000006182793,0.00008519289,0.05812671,0.0001843024,0.00001716707,0.0004215899,0.807728,0.0004163104,0.001121402,0.0006108303,0.1312542,0.0000280603],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9510792,0.0007657644,0.0008988518,0.001477109,0.00003372625,0.00006937874,0.0004878092,0.00002160177,0.04516663],"genre_scores_gemma":[0.9826416,0.0005185611,0.0004216765,0.0001169774,0.000004294265,0.00002352521,0.00009430911,0.00001506885,0.01616393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1285529,"threshold_uncertainty_score":0.2821606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547835547757229,"score_gpt":0.250369376744459,"score_spread":0.2248910212668867,"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."}}