{"id":"W4401464985","doi":"10.1016/b978-0-443-13293-3.00017-8","title":"Leveraging the use of mechanistic and machine learning models to assess interactions between ammonia concentrations, manure characteristics, and atmospheric conditions in laying-hen manure storage under laboratory conditions","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Rimouski","funders":"","keywords":"Manure; Ammonia; Environmental science; Laying; Agricultural engineering; Waste management; Agronomy; Chemistry; Engineering; Biology; Mechanical engineering","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":[0.001115879,0.0008049894,0.0005566332,0.0002284729,0.0001852309,0.001048398,0.0006891852,0.0008304387,0.001154972],"category_scores_gemma":[0.002019525,0.0004003307,0.0006947129,0.0002345203,0.0002820642,0.001163763,0.0003371284,0.0006908107,0.0002298974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004286648,"about_ca_system_score_gemma":0.0005150801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003673368,"about_ca_topic_score_gemma":0.00541756,"domain_scores_codex":[0.9998417,0.00005401528,0.00001004904,0.00004505186,0.00003946995,0.000009732617],"domain_scores_gemma":[0.9990969,0.0006749649,0.0001022302,0.00006218957,0.00005110703,0.00001275431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002082171,0.0005166919,0.008910934,0.0001532951,0.000294868,0.00008282415,0.00004472171,0.8678623,0.03652668,0.002715025,0.0005769697,0.08210748],"study_design_scores_gemma":[0.000005984054,0.00009115595,0.001536412,0.000004788947,0.00003091061,0.00002263343,0.000006746113,0.9910876,0.004928152,0.001997691,0.0002737733,0.00001406465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3982027,0.0006727832,0.5913172,0.000376548,0.0000867708,0.0001327214,0.0005620368,0.001420643,0.007228536],"genre_scores_gemma":[0.9013705,0.000433717,0.09376041,0.0001327518,0.00002514278,0.0001214336,0.0005815451,0.00008064388,0.003493854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003673368,"threshold_uncertainty_score":0.007304013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06801055538124284,"score_gpt":0.248011246546607,"score_spread":0.1800006911653641,"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."}}