{"id":"W2773582212","doi":"10.5539/jas.v10n1p180","title":"Physicochemical and Microbiological Properties and Humic Substances of Composts Produced with Food Residues","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compost; Manure; Chemistry; Food science; Humic acid; Green waste; Poultry litter; Environmental chemistry; Agronomy; Fertilizer; Nutrient; Biology; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002421082,0.0003749584,0.0002175125,0.0005612455,0.0001949934,0.0003598814,0.00009578923,0.000253575,0.000478726],"category_scores_gemma":[0.0003173197,0.0001268145,0.0002766847,0.0004051431,0.000228457,0.0001991827,0.000148897,0.0002532332,0.0001137656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001646085,"about_ca_system_score_gemma":0.0002817008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009733333,"about_ca_topic_score_gemma":0.001314512,"domain_scores_codex":[0.9997243,0.00004273625,0.00003124454,0.00004055918,0.0001164321,0.00004473427],"domain_scores_gemma":[0.9997318,0.00003883213,0.00008074591,0.00001096863,0.00009391314,0.00004368337],"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":[0.0003157471,0.00009144539,0.006428152,0.0002294022,0.0000261211,0.0001141918,0.00006009914,0.0002669505,0.9888493,0.00003417876,0.00002855053,0.003555819],"study_design_scores_gemma":[0.00001356316,0.001712004,0.1331089,0.00005458633,0.0000888119,0.0004570851,0.00033742,0.0007434123,0.8617984,0.00007694434,0.001583717,0.00002527087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99784,0.0006723645,0.0004212943,0.00000777442,0.000008995567,0.00002521383,0.0003743586,0.000006614445,0.0006433252],"genre_scores_gemma":[0.9978462,0.0004521196,0.0006074656,0.00001647909,0.000006238613,0.00002966669,0.0004196648,0.00000518285,0.000617012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009733333,"threshold_uncertainty_score":0.001935363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03895770453304957,"score_gpt":0.2327773852418659,"score_spread":0.1938196807088163,"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."}}