{"id":"W6922027293","doi":"10.1021/acs.estlett.0c00498.s001","title":"The Widespread Environmental Footprint of Indigo Denim\\nMicrofibers from Blue Jeans","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Dyeing and Modifying Textile Fibers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Denim; Microfiber; Indigo; Textile; Effluent; Arctic; Pollution","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001068162,0.0003160079,0.0001338813,0.0007134516,0.0008806192,0.0008395892,0.0001502113,0.0002808499,0.001103672],"category_scores_gemma":[0.0001542664,0.0001487795,0.0001687428,0.000606738,0.0003535667,0.0002356233,0.0004426111,0.0001929812,0.000358646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006844821,"about_ca_system_score_gemma":0.0005384514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09039398,"about_ca_topic_score_gemma":0.2523858,"domain_scores_codex":[0.9997552,0.00001030385,0.00000643117,0.0000580006,0.0001104129,0.00005970834],"domain_scores_gemma":[0.9998447,0.000009484641,0.0000651729,0.000008169351,0.00004523445,0.00002716982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001121037,0.00003754509,0.4823792,0.00009972828,0.00002881055,0.0007314747,0.002259404,0.00005697583,0.5034228,0.00007464126,0.0002138158,0.01058359],"study_design_scores_gemma":[6.243628e-7,0.000049505,0.9829421,0.00001314339,0.000009392666,0.0003068708,0.001248857,0.00004935886,0.01380827,0.00001340516,0.00155315,0.000005288016],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982939,0.0001291303,0.0001145704,0.00002121824,0.000002061592,0.000004168066,0.0002694838,0.000004899095,0.001160493],"genre_scores_gemma":[0.9949137,0.000502034,0.0005699947,0.00006771198,0.000005659784,0.000007588225,0.0008663625,0.000008891896,0.003057962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09039398,"threshold_uncertainty_score":0.1797357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019015064597736,"score_gpt":0.1784435516255988,"score_spread":0.1594284870278628,"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."}}