{"id":"W4379144176","doi":"10.3390/su15118984","title":"Role of Vermicomposting Microorganisms in the Conversion of Biomass Ash to Bio-Based Fertilizers","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Sakarya Üniversitesi","keywords":"Vermicompost; Cow dung; Nutrient; Phosphorus; Chemistry; Population; Food science; Biomass (ecology); Fermentation; Microorganism; Agronomy; Biology; Bacteria; Fertilizer","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":[0.0002801194,0.0004905148,0.0003484783,0.0002623654,0.0001965232,0.0007669104,0.0002075842,0.0003290881,0.0003520984],"category_scores_gemma":[0.0004352168,0.0001487013,0.0002530859,0.0002432094,0.0002048834,0.0002770971,0.0003342907,0.0002851094,0.0001144268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003254166,"about_ca_system_score_gemma":0.0004164965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003510756,"about_ca_topic_score_gemma":0.007262152,"domain_scores_codex":[0.9996195,0.00008125871,0.00004246644,0.00009813569,0.00009397166,0.00006466799],"domain_scores_gemma":[0.9997404,0.00005918606,0.00008177941,0.00001258537,0.00006524508,0.00004083665],"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":[0.0001868696,0.00004611407,0.008798297,0.0001255931,0.0000303351,0.0001036613,0.00003881372,0.0002201994,0.9833983,0.00003634567,0.00001354159,0.007001859],"study_design_scores_gemma":[0.00001180653,0.001220583,0.09518497,0.00005374719,0.00008701412,0.0003184801,0.0004068518,0.001725034,0.8991207,0.0000850836,0.001771385,0.00001427274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978563,0.0009601255,0.000527096,0.00002307572,0.000008396507,0.00001344829,0.00008759395,0.00001062932,0.0005132447],"genre_scores_gemma":[0.9973859,0.0005022637,0.001323654,0.00002121565,0.000003114597,0.00001123602,0.0001313291,0.000004974364,0.0006163093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003510756,"threshold_uncertainty_score":0.006980598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303392253869371,"score_gpt":0.2528939059586901,"score_spread":0.2398599834199964,"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."}}