{"id":"W4400087414","doi":"10.1016/j.spc.2024.06.026","title":"Improving the sustainability of milk production across different climate regions in China","year":2024,"lang":"en","type":"article","venue":"Sustainable Production and Consumption","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Production (economics); Sustainability; China; Natural resource economics; Environmental economics; Environmental science; Milk production; Business; Economics; Geography; Microeconomics; Animal science; 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":[0.001077392,0.0003170333,0.0002596702,0.00102366,0.0006955482,0.000759849,0.0004488818,0.0002263204,0.0005235054],"category_scores_gemma":[0.0005004851,0.0001357817,0.0004381964,0.002195011,0.0004431866,0.0004977871,0.0008231151,0.0001252797,0.00003042611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003461936,"about_ca_system_score_gemma":0.004867424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1075498,"about_ca_topic_score_gemma":0.1553497,"domain_scores_codex":[0.9996459,0.00008016676,0.00002217324,0.00005601107,0.00006949807,0.0001261885],"domain_scores_gemma":[0.9997234,0.00003400981,0.00008266714,0.00002059165,0.00008230167,0.00005691804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003361464,0.0001959549,0.8818401,0.0003176274,0.000419414,0.001026573,0.002752716,0.02139797,0.01882115,0.004702113,0.0008642086,0.06732595],"study_design_scores_gemma":[0.00001000439,0.0000898188,0.9885415,0.00001508179,0.0001057081,0.00003404647,0.001690914,0.005423184,0.001310737,0.0006802515,0.002085236,0.00001349742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984401,0.0002162572,0.0002066479,0.0001533356,0.000002351682,0.00000707689,0.00009397327,0.000006275675,0.0008739977],"genre_scores_gemma":[0.9993235,0.0001378473,0.0001760691,0.00001673758,0.000001754009,0.000004618282,0.0000813642,0.000001276881,0.0002568026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1075498,"threshold_uncertainty_score":0.2138476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007037026140470548,"score_gpt":0.2443885662697105,"score_spread":0.2373515401292399,"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."}}