{"id":"W4386392332","doi":"10.1016/j.resconrec.2023.107173","title":"Textile waste in Ontario, Canada: Opportunities for reuse and recycling","year":2023,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Fashion and Cultural Textiles","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Seneca Polytechnic","funders":"","keywords":"Reuse; Textile; Waste management; Business; Environmental science; Engineering; Geography; Archaeology","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":[0.000425315,0.0003352469,0.0003401515,0.001774017,0.009591158,0.004500569,0.0008814202,0.0009376268,0.008004762],"category_scores_gemma":[0.0008930576,0.0003772455,0.0005680423,0.006244936,0.001770862,0.000961125,0.001540552,0.0008178588,0.000470299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07017241,"about_ca_system_score_gemma":0.1279902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99804,"about_ca_topic_score_gemma":0.9996853,"domain_scores_codex":[0.999105,0.00004450013,0.00003312872,0.00005957001,0.0003512535,0.0004065248],"domain_scores_gemma":[0.9990236,0.00006427054,0.0001210867,0.00001641734,0.0005453581,0.0002293269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007405972,0.000300781,0.6703874,0.001704973,0.000139197,0.005875422,0.07912238,0.001553151,0.005056142,0.014482,0.03722562,0.1834124],"study_design_scores_gemma":[0.00001888086,0.00006580063,0.7559695,0.0004449051,0.00006620398,0.0006163,0.1368548,0.0008835106,0.00078927,0.0007137944,0.1035153,0.00006178828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9365754,0.004583555,0.0004923354,0.005812772,0.00007088368,0.0001064779,0.002931166,0.00004203013,0.04938536],"genre_scores_gemma":[0.9336488,0.005096843,0.001239828,0.0007016382,0.00001485905,0.00002829396,0.0007222488,0.00003145847,0.05851585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07017241,"threshold_uncertainty_score":0.5091388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1385624308009676,"score_gpt":0.2365272911357817,"score_spread":0.09796486033481414,"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."}}