{"id":"W2386607577","doi":"","title":"Summary of Livestock Environmental Pollution and Environmental Management Policies","year":2014,"lang":"en","type":"article","venue":"Shengtai yu nongcun huanjing xuebao","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Animal husbandry; Livestock; China; Pollution; Status quo; Environmental pollution; Environmental protection; Environmental planning; Animal waste; Natural resource economics; Business; Environmental science; Geography; Environmental resource management; Agriculture; Ecology; Political science; Biology; Engineering; Forestry; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001599928,0.0002413348,0.0002845531,0.0001522725,0.0001131651,0.00002060246,0.0002297649,0.0001496309,0.0001050477],"category_scores_gemma":[0.00003925353,0.0002312161,0.00009023578,0.00006971014,0.0001926661,0.0001423103,0.0003102034,0.0002062749,0.00002335147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009088971,"about_ca_system_score_gemma":0.000002906099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002844023,"about_ca_topic_score_gemma":0.000001001684,"domain_scores_codex":[0.9987131,0.0000262308,0.0003222598,0.0003234156,0.0002528943,0.0003620564],"domain_scores_gemma":[0.9993764,0.00007000225,0.00009248936,0.0003589838,0.000002603123,0.00009949375],"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":[0.00008855271,0.0002462308,0.0144963,0.0002599771,0.0001927981,0.000009118316,0.0006003419,0.001481981,0.8861846,0.007670472,0.001102332,0.08766729],"study_design_scores_gemma":[0.009885633,0.001244063,0.1817916,0.001157662,0.0007305625,0.0001075123,0.01260141,0.1481742,0.5300559,0.007990575,0.1023546,0.003906281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880201,0.0007931834,0.003295461,0.0002813027,0.0001395111,0.000243206,0.00004329652,0.0002807136,0.006903193],"genre_scores_gemma":[0.9961355,0.0002611814,0.001771701,0.00007412854,0.00007803952,0.0000163664,0.0000279267,0.00003350503,0.001601627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3561287,"threshold_uncertainty_score":0.942872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005729923974394752,"score_gpt":0.1909274709078806,"score_spread":0.1851975469334858,"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."}}