{"id":"W4213382146","doi":"10.3390/recycling7010010","title":"Evaluation of Vermicompost Produced by Using Post-Consumer Cotton Textile as Carbon Source","year":2022,"lang":"en","type":"article","venue":"Recycling","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Vermicompost; Compost; Textile; Green waste; Waste management; Pulp and paper industry; Environmental science; Mechanical biological treatment; Food waste; Fertilizer; Raw material; Municipal solid waste; Agronomy; Chemistry; Waste collection; Materials science; Engineering; Nutrient; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002664789,0.0004412717,0.0003586323,0.0003458317,0.0001955449,0.0004791734,0.0001981606,0.0003170001,0.0005873904],"category_scores_gemma":[0.000267468,0.0001081839,0.0003080745,0.0003380855,0.000196802,0.0002743691,0.0002477298,0.0003185503,0.0001280915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002477525,"about_ca_system_score_gemma":0.0003098941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001301787,"about_ca_topic_score_gemma":0.003804639,"domain_scores_codex":[0.9997699,0.00004367262,0.00002192708,0.00005253945,0.00007427603,0.00003771241],"domain_scores_gemma":[0.9997832,0.00003645846,0.00006221093,0.00001445793,0.0000622843,0.00004138139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000222101,0.00007204219,0.000704522,0.0001029893,0.000008826208,0.00004772586,0.00001616801,0.0001354133,0.9964804,0.00001187856,0.000006763326,0.002191172],"study_design_scores_gemma":[0.000006351455,0.001978596,0.005983268,0.00001557519,0.00003646196,0.00008220716,0.00006592264,0.0002554069,0.9908421,0.00001142925,0.0007171382,0.000005489691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998329,0.0005265105,0.0005194604,0.00001147391,0.000008442616,0.00002722543,0.0001223752,0.00001280093,0.0004427751],"genre_scores_gemma":[0.994494,0.0009684163,0.002704848,0.00001676378,0.000003882477,0.00002631957,0.000273057,0.00001505535,0.001497584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001301787,"threshold_uncertainty_score":0.002588391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04610281521596427,"score_gpt":0.2885798649287001,"score_spread":0.2424770497127358,"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."}}