{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002644052,0.0002384172,0.0003237206,0.00006066958,0.0002451135,0.000695692,0.00009606311,0.0001168068,0.003361556],"category_scores_gemma":[0.00003769279,0.0002151366,0.00005592395,0.00001817703,0.0001493648,0.0003788472,0.0002780207,0.0002553081,0.000006159314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003660996,"about_ca_system_score_gemma":0.0001696039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02598229,"about_ca_topic_score_gemma":0.1615945,"domain_scores_codex":[0.99861,0.00007773169,0.0002644458,0.0005912433,0.0001491778,0.0003073587],"domain_scores_gemma":[0.9992421,0.00001958195,0.00008584165,0.0003252516,0.0002784924,0.00004876955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007148868,0.0002864204,0.0001061149,0.001108921,0.00008923867,0.00008068757,0.2801948,0.000490211,0.00009553497,0.660533,0.04997585,0.006967665],"study_design_scores_gemma":[0.0005032652,0.0001130336,0.0005025695,0.0003372575,0.00005375205,0.00000979506,0.8415542,0.0004687299,0.001345444,0.009771477,0.1443586,0.0009819783],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2280185,0.01432013,0.0005375913,0.0008742686,0.002640659,0.001543926,0.00002261503,0.0002249507,0.7518173],"genre_scores_gemma":[0.7025967,0.0004902752,0.0001786676,0.00008532454,0.001105572,0.0001383724,0.00006750878,0.00002208637,0.2953155],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6507615,"threshold_uncertainty_score":0.9975495,"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."}}