{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001773336,0.0001310319,0.0001915398,0.00002629688,0.0003695542,0.00002345085,0.0002460094,0.00004687966,0.0001675261],"category_scores_gemma":[0.0002850552,0.00007120649,0.00007698959,0.0002856818,0.0000317337,0.00004299975,0.0001938892,0.0002025099,0.000001868491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001360875,"about_ca_system_score_gemma":0.00003924731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002889869,"about_ca_topic_score_gemma":0.00002055387,"domain_scores_codex":[0.9980488,0.000425938,0.0003026649,0.0003302051,0.0006737383,0.0002185957],"domain_scores_gemma":[0.9991477,0.0002220906,0.000240594,0.00009725648,0.0002468307,0.00004555221],"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":[0.00002759249,0.00008272213,0.002122947,0.000004258953,0.00001077629,4.270228e-7,0.0001027064,0.0003103252,0.9089612,0.000002284354,0.00004092465,0.08833382],"study_design_scores_gemma":[0.0007868137,0.001308539,0.006705434,0.0002187346,0.00037764,0.0001194936,0.001453886,0.1257783,0.8496617,0.0006256452,0.01198319,0.0009805581],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981456,0.0004259569,9.934013e-7,0.0002084286,0.0001412749,0.0003346382,0.00003083549,0.0001692442,0.0005430455],"genre_scores_gemma":[0.999593,0.000006283176,0.0001176226,0.00005979164,0.00007914699,0.00001984171,0.00007571669,0.000002978245,0.00004567446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.125468,"threshold_uncertainty_score":0.4368637,"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."}}