{"id":"W2080468116","doi":"10.3390/su4123279","title":"Carbon Footprint of Beef Cattle","year":2012,"lang":"en","type":"article","venue":"Sustainability","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Agriculture and Agri-Food Canada","funders":"","keywords":"Carbon footprint; Agricultural science; Beef cattle; European union; Rendering (computer graphics); Carbon dioxide equivalent; Agriculture; Production (economics); Greenhouse gas; Agricultural economics; Environmental science; Business; Animal science; Economics; Biology; Ecology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005094541,0.0005362192,0.0002527093,0.002385577,0.0005485229,0.001218913,0.0003141164,0.0002531511,0.003166355],"category_scores_gemma":[0.0007703478,0.0001071009,0.0003952354,0.004631523,0.0004859507,0.0005510626,0.0006427795,0.0003463366,0.0003220221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005120906,"about_ca_system_score_gemma":0.00260887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3675441,"about_ca_topic_score_gemma":0.4629013,"domain_scores_codex":[0.9991183,0.0001201534,0.00002161672,0.00008352802,0.000511576,0.0001449675],"domain_scores_gemma":[0.9992737,0.00007491775,0.0001053951,0.00004146353,0.0004595426,0.00004485471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001613653,0.0001472312,0.2409493,0.003262768,0.001375987,0.000997379,0.00157968,0.02725516,0.03829663,0.0271941,0.03562449,0.6217038],"study_design_scores_gemma":[0.0000175212,0.0003198395,0.6101241,0.001002688,0.0003548679,0.0008785898,0.002718149,0.005960016,0.0185082,0.006956464,0.3530352,0.0001244424],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.70473,0.06764778,0.007987911,0.002386348,0.0004409839,0.00008975744,0.03957083,0.0002037776,0.1769425],"genre_scores_gemma":[0.9626796,0.01566405,0.003167512,0.0002557063,0.0000593626,0.00003114556,0.008771128,0.00004344793,0.009328073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3675441,"threshold_uncertainty_score":0.7308095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005766940316150118,"score_gpt":0.2300507036414145,"score_spread":0.2242837633252643,"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."}}