{"id":"W2906365523","doi":"10.3168/jds.2018-14967","title":"Production of recycled manure solids for use as bedding in Canadian dairy farms: II. Composting methods","year":2018,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire de Cardiologie et de Pneumologie de Québec; Centre de Recherche en Sciences Animales de Deschambault; Institut de Recherche et de Développement en Agroenvironnement; Université Laval","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Université Laval","keywords":"Manure; Dry matter; Environmental science; Liquid manure; Drum; Total dissolved solids; Manure management; Waste management; Cow dung; Pulp and paper industry; Organic matter; Animal science; Agronomy; Chemistry; Environmental engineering; Fertilizer; Biology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003670959,0.0001108975,0.0002410046,0.0001768458,0.0005632479,0.0000757788,0.0005740878,0.00006119048,0.00001024748],"category_scores_gemma":[0.002098139,0.00005203055,0.00008209887,0.0009210334,0.0003345131,0.0005419313,0.0001013604,0.0001700692,4.059164e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450445,"about_ca_system_score_gemma":0.000179994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02002563,"about_ca_topic_score_gemma":0.01551417,"domain_scores_codex":[0.9984692,0.0001030738,0.0005067626,0.0002462606,0.0002775431,0.000397198],"domain_scores_gemma":[0.9983284,0.000380736,0.0004578202,0.00007981324,0.0005644556,0.0001887075],"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":[0.00007050078,0.00004912783,0.01777376,0.000007494872,0.000004150202,0.000003470122,0.0004151599,0.000008365154,0.8804443,0.0001149829,0.0004653052,0.1006434],"study_design_scores_gemma":[0.0006453176,0.005469163,0.2810627,0.001590959,0.0000483173,0.0007089579,0.001276023,0.007203384,0.6640264,0.006666146,0.03063389,0.0006687104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975606,0.00003571417,0.0001752237,0.001263141,0.0005853043,0.0001309736,0.000005761874,0.00002449738,0.000218821],"genre_scores_gemma":[0.9398567,0.000007476331,0.05961642,0.0001082341,0.0003530856,0.000001603804,0.000001614172,0.000001227907,0.00005363513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2632889,"threshold_uncertainty_score":0.9865001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0615924389798331,"score_gpt":0.3550565430106376,"score_spread":0.2934641040308045,"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."}}