{"id":"W3005439744","doi":"10.1017/s1751731119003100","title":"Review: Fifty years of research on rumen methanogenesis: lessons learned and future challenges for mitigation","year":2020,"lang":"en","type":"review","venue":"animal","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":564,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica; Comisión Nacional de Investigación Científica y Tecnológica; National Natural Science Foundation of China","keywords":"Greenhouse gas; Ruminant; Methanogenesis; Rumen; Arable land; Environmental science; Biotechnology; Natural resource economics; Animal feed; Agriculture; Emission intensity; Business; Agricultural economics; Biology; Agronomy; Methane; Food science; Fermentation; Ecology; Engineering; Economics","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":[0.001850686,0.001355277,0.003426237,0.003956508,0.0005511459,0.002510513,0.001635555,0.002382891,0.01074137],"category_scores_gemma":[0.006201183,0.0005209223,0.001937227,0.005468198,0.0008601238,0.003675786,0.001649219,0.002327202,0.003120317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274783,"about_ca_system_score_gemma":0.005229325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002254403,"about_ca_topic_score_gemma":0.003569413,"domain_scores_codex":[0.9989379,0.0002155723,0.0002617543,0.000188612,0.0003059639,0.00009027938],"domain_scores_gemma":[0.9952357,0.002546594,0.0007758837,0.0001071063,0.001071488,0.0002631591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001845267,0.00004517525,0.0003307395,0.196707,0.0005621387,0.0002836258,0.0002304115,0.0003916422,0.001015131,0.002280082,0.1796071,0.6183624],"study_design_scores_gemma":[0.00002238494,0.00008250269,0.001221513,0.05090059,0.000664285,0.0006446135,0.0002595693,0.00006834719,0.0001839654,0.001559246,0.944347,0.00004587226],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007995078,0.9961914,0.0001082334,0.001931582,0.001160947,0.000008436768,0.00009981749,0.00001654104,0.0004030392],"genre_scores_gemma":[0.0003856443,0.9973933,0.0001151813,0.001082285,0.0006488523,0.000009008078,0.00009656551,0.000003273293,0.0002658756],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01074137,"threshold_uncertainty_score":0.03593349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3436919459820625,"score_gpt":0.4470632173874687,"score_spread":0.1033712714054062,"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."}}