{"id":"W4414007172","doi":"10.37885/250819883","title":"MANURE MANAGEMENT STRATEGIES TO MITIGATE EMISSIONS IN PIG AND POULTRY PRODUCTION: INSIGHTS FROM LIFE CYCLE ASSESSMENT STUDIES","year":2025,"lang":"en","type":"book-chapter","venue":"Editora Científica Digital eBooks","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval","funders":"","keywords":"Production (economics); Life-cycle assessment; Manure management; Environmental science; Environmental resource management; Manure; Agricultural science; Business; Environmental planning; Biology; Economics; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001133958,0.0005484659,0.0004926797,0.0001590476,0.000238276,0.0003058504,0.0003345264,0.0002365107,0.0001995038],"category_scores_gemma":[0.00005166055,0.0004903266,0.0001095133,0.00006572593,0.0005121519,0.0004423928,0.001227195,0.0004540583,0.00009264016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008814328,"about_ca_system_score_gemma":0.00006179779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001962196,"about_ca_topic_score_gemma":0.00004330585,"domain_scores_codex":[0.9971804,0.00002711629,0.0005270884,0.001124394,0.0007421352,0.0003988495],"domain_scores_gemma":[0.9987713,0.00007059399,0.0001369856,0.0006209473,0.00001764031,0.0003825599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007766307,0.002619768,0.03759668,0.002458783,0.002747828,0.001888268,0.02483025,0.008162891,0.001288815,0.07561571,0.5971413,0.244873],"study_design_scores_gemma":[0.000936234,0.0003343982,0.06290305,0.001183668,0.0002055052,0.000004138009,0.02558665,0.00004448474,0.00007013808,0.1225195,0.7843139,0.001898394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1076042,0.0002821292,0.00002672188,0.0006209493,0.003460564,0.001454549,0.0001558,0.0000989993,0.8862961],"genre_scores_gemma":[0.6603872,0.0000673674,0.0003170427,0.0002370275,0.00128901,0.000121069,0.00007960292,0.00004775203,0.3374539],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.552783,"threshold_uncertainty_score":0.9997548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009561999362475704,"score_gpt":0.2582447945553966,"score_spread":0.2486827951929209,"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."}}