{"id":"W3080293814","doi":"10.1080/09064702.2020.1806349","title":"Mitigation of greenhouse gas emissions from beef cattle production systems","year":2020,"lang":"en","type":"article","venue":"Acta Agriculturae Scandinavica Section A – Animal Science","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Greenhouse gas; Herd; Animal science; NOP; Environmental science; Breed; Emission intensity; Beef cattle; Norwegian; Biology; Veterinary medicine; Ecology; Chemistry; Medicine","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":[0.0005291031,0.0006460426,0.0004459369,0.0002919153,0.0003593224,0.0006031205,0.0005678813,0.0005932605,0.001762256],"category_scores_gemma":[0.0004472615,0.0002768982,0.0006157943,0.000279774,0.0003384107,0.0004582539,0.0003060186,0.000310413,0.00008411964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763886,"about_ca_system_score_gemma":0.001288774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0987097,"about_ca_topic_score_gemma":0.05973584,"domain_scores_codex":[0.9998404,0.00005931347,0.00000425854,0.00002807202,0.00001917605,0.00004868345],"domain_scores_gemma":[0.9997894,0.0001227814,0.00002441831,0.00000985128,0.00003454991,0.00001899315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001063136,0.00003861681,0.002128396,0.00002349409,0.00002191175,0.00004194138,0.00001070191,0.994994,0.001165508,0.0001908965,0.0000566498,0.001221584],"study_design_scores_gemma":[0.00009241177,0.0004794699,0.005056398,0.000008734085,0.00004579359,0.00001387614,0.00005876459,0.9923419,0.00121724,0.0003146061,0.0003568427,0.00001396391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913901,0.00008439276,0.003808757,0.00004516447,0.00001019696,0.00004463727,0.0007018415,0.00005801241,0.003856922],"genre_scores_gemma":[0.9973649,0.00005530589,0.001473943,0.000007303257,0.000001269778,0.00003792428,0.0002673738,0.000005433394,0.0007865152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0987097,"threshold_uncertainty_score":0.1962703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00979821552762746,"score_gpt":0.2183798995224515,"score_spread":0.208581683994824,"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."}}