{"id":"W3161785749","doi":"10.5539/eer.v11n1p37","title":"Characterization of the Microbial Community in A Continuous Garbage Treatment Process","year":2021,"lang":"en","type":"article","venue":"Energy and Environment Research","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Garbage; Aeration; Organic matter; Microbial population biology; Process (computing); Decomposition; Garbage collection; Process engineering; Pulp and paper industry; Environmental science; Biochemical engineering; Waste management; Computer science; Ecology; Biology; Engineering; Bacteria","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":[0.0002970791,0.0004438829,0.0005310878,0.0007207199,0.0003529552,0.0005129823,0.0003168922,0.0003826782,0.0006518249],"category_scores_gemma":[0.0002858121,0.0001879354,0.0004542209,0.0006650726,0.000285346,0.0005525792,0.0003719224,0.0004512457,0.0002640281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001433618,"about_ca_system_score_gemma":0.0003223722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00176604,"about_ca_topic_score_gemma":0.002646732,"domain_scores_codex":[0.9996598,0.00003558214,0.00002899431,0.0001221493,0.000104639,0.00004891822],"domain_scores_gemma":[0.9997398,0.00004852476,0.00004864133,0.00001714017,0.00009735539,0.00004851648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000144426,0.00006862274,0.005760023,0.0001555279,0.000008911438,0.00009246801,0.0002434568,0.0001268447,0.9880414,0.00003456549,0.00002759615,0.005296117],"study_design_scores_gemma":[0.00002158034,0.001361487,0.1343237,0.00006344672,0.00009342364,0.0004104793,0.001250892,0.004604175,0.8551634,0.0001644715,0.002478361,0.00006468237],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925933,0.0005630633,0.005330523,0.00003648117,0.00001672567,0.00005556379,0.0004336788,0.00007204416,0.0008987464],"genre_scores_gemma":[0.9850281,0.0006655851,0.01177745,0.0000731135,0.00001241452,0.0001277613,0.0006966948,0.00003321343,0.001585527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00176604,"threshold_uncertainty_score":0.003511488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04510552849236433,"score_gpt":0.271210820478354,"score_spread":0.2261052919859897,"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."}}