{"id":"W3041992413","doi":"10.1016/j.wasman.2020.06.026","title":"Effect of neem leaf inclusion rates on compost physico-chemical, thermal and spectroscopic stability","year":2020,"lang":"en","type":"article","venue":"Waste Management","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"University of the West Indies, St. Augustine Campus","keywords":"Compost; Chemistry; Thermogravimetric analysis; Neem cake; Thermal stability; Manure; Nuclear chemistry; Agronomy; Organic chemistry; Vermicompost; Biology; Nutrient","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":[0.0004068521,0.0004174208,0.0002967595,0.0001503968,0.0001890994,0.0005617675,0.0002995844,0.0003758454,0.00194703],"category_scores_gemma":[0.001104889,0.0002503294,0.0001706789,0.0002512725,0.0003062197,0.0005535207,0.0002499407,0.0005411753,0.0003335013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002844084,"about_ca_system_score_gemma":0.0003470344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001742138,"about_ca_topic_score_gemma":0.002400564,"domain_scores_codex":[0.9996537,0.00008999615,0.00004316547,0.00009461171,0.00004291664,0.00007567501],"domain_scores_gemma":[0.9990324,0.0004982099,0.0001442901,0.00007076515,0.0001400115,0.0001142144],"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":[0.003564886,0.000144619,0.0005100635,0.00007358316,0.00001391011,0.00004289105,0.00008605615,0.0001246366,0.9931763,0.00003611826,0.00003063418,0.00219631],"study_design_scores_gemma":[0.0000168224,0.000494679,0.002016483,0.000005692875,0.00002590737,0.00002152014,0.00003043681,0.0002597978,0.9965163,0.00001091209,0.0005941225,0.000007215435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980275,0.0005477763,0.0004683865,0.00003091921,0.00002240125,0.00001696603,0.0001796185,0.00002161479,0.0006847838],"genre_scores_gemma":[0.9957203,0.0004210539,0.001162013,0.00004776201,0.000009992631,0.00002654245,0.0001962469,0.00003277911,0.002383406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00194703,"threshold_uncertainty_score":0.006513417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646893002826301,"score_gpt":0.241437229932683,"score_spread":0.22496829990442,"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."}}