{"id":"W4400958021","doi":"10.1098/rspb.2024.0675","title":"Improve animal health to reduce livestock emissions: quantifying an open goal","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Queen's University; Queen's University Belfast; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Rural and Environment Science and Analytical Services Division","keywords":"Greenhouse gas; Livestock; Climate change; Natural resource economics; Food security; Livelihood; Climate change mitigation; Business; Production (economics); Environmental resource management; Environmental science; Global warming; Psychological intervention; Environmental economics; Environmental planning; Agriculture; Economics; Ecology; Medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01598789,0.001186268,0.001085428,0.002557925,0.0004940103,0.004032863,0.001661694,0.00225869,0.00165101],"category_scores_gemma":[0.02482754,0.0003989669,0.00106867,0.002924722,0.003014184,0.005479724,0.003372452,0.001362353,0.0001741756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003330163,"about_ca_system_score_gemma":0.003907959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01000439,"about_ca_topic_score_gemma":0.008225759,"domain_scores_codex":[0.992213,0.004804168,0.0004264283,0.0009438916,0.001326025,0.0002865417],"domain_scores_gemma":[0.9857248,0.008830268,0.002210113,0.001694244,0.00134952,0.0001910134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008883109,0.0003323985,0.02515519,0.001963333,0.0007214513,0.0001024615,0.00043226,0.2327798,0.003842506,0.6038733,0.003045435,0.1276631],"study_design_scores_gemma":[0.00002238282,0.0002283365,0.01518474,0.0009747025,0.0001628803,0.00004277366,0.0005846391,0.1953693,0.003564713,0.7641057,0.01966103,0.00009886128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06326075,0.008033299,0.8952154,0.01305365,0.0001830385,0.0003785055,0.004454595,0.0002423052,0.01517843],"genre_scores_gemma":[0.7283558,0.005320403,0.2613017,0.00102193,0.0001343644,0.000711443,0.001886457,0.00006925822,0.001198753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01598789,"threshold_uncertainty_score":0.08455306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05239570301841914,"score_gpt":0.3359948727842699,"score_spread":0.2835991697658508,"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."}}