{"id":"W3042270740","doi":"10.1016/j.jclepro.2020.123174","title":"Distribution characteristics, potential contribution, and management strategy of crop straw and livestock-poultry manure in multi-ethnic regions of China: A critical evaluation","year":2020,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"Education Department of Sichuan Province; Department of Science and Technology of Sichuan Province; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Livestock; Manure; Agriculture; Agricultural science; Animal husbandry; Environmental science; Nutrient; Straw; China; Nutrient management; Geography; Agroforestry; Agronomy; Forestry; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00200966,0.0004561846,0.0004483051,0.00176674,0.0007194723,0.000749954,0.0009548126,0.0003297272,0.0005420783],"category_scores_gemma":[0.001526292,0.0002906858,0.000583912,0.002505881,0.0006489531,0.001083087,0.0007975868,0.0001998472,0.00006020108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834846,"about_ca_system_score_gemma":0.002250041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08146489,"about_ca_topic_score_gemma":0.1317393,"domain_scores_codex":[0.9992446,0.0002262067,0.00007163473,0.0001421847,0.0001489303,0.0001665688],"domain_scores_gemma":[0.9987448,0.0002366815,0.0003611836,0.00007745498,0.0004618783,0.0001179427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001260558,0.00003369785,0.9866254,0.00006316202,0.0001600872,0.0003844158,0.0009622786,0.0007621138,0.001439524,0.000238393,0.00007747841,0.009127351],"study_design_scores_gemma":[0.000002693235,0.00006893711,0.9940597,0.00001699588,0.00009291049,0.0001402349,0.003076806,0.001780411,0.0003302506,0.0001171496,0.0003041447,0.000009712492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992005,0.0002877473,0.0001329261,0.00007093558,0.000002432552,0.000009309757,0.00009548139,0.00000119304,0.0001994989],"genre_scores_gemma":[0.9994814,0.0001907133,0.000143943,0.00001480149,0.000003071264,0.00000480732,0.00005861951,7.918099e-7,0.0001019195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08146489,"threshold_uncertainty_score":0.1619814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0273255814718224,"score_gpt":0.2792134124570424,"score_spread":0.25188783098522,"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."}}