{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006807024,0.0001723413,0.0002052406,0.00001890409,0.00007882699,0.00000618373,0.0002077946,0.0001014566,0.0006350275],"category_scores_gemma":[0.0004288759,0.0001357471,0.0001119803,0.0002519845,0.0005799709,0.0001424365,0.0003741677,0.0001543859,0.00002428475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002145803,"about_ca_system_score_gemma":0.00002859964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002691299,"about_ca_topic_score_gemma":0.00005519527,"domain_scores_codex":[0.998427,0.0001186925,0.0002768794,0.0002606561,0.0003085767,0.0006081352],"domain_scores_gemma":[0.9990971,0.00005858372,0.00009017416,0.0004843926,0.00002725878,0.0002425097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002743202,0.0005308822,0.9871484,0.00007162546,0.000007847197,8.402803e-7,0.001891892,0.0005029064,0.001025431,0.000481158,0.00006892059,0.00824266],"study_design_scores_gemma":[0.0001380523,0.00008124506,0.9816056,0.000001709608,0.00001629801,0.000004340573,0.002572166,0.00001012669,0.006535261,0.004460854,0.004401833,0.0001724763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984621,0.00006407293,0.00004844105,0.0004496864,0.000081922,0.0004367182,0.000002773134,0.00003734637,0.01425798],"genre_scores_gemma":[0.9991315,0.00000263233,0.000170074,0.00002659403,0.0000441229,0.00002609668,0.000003078336,0.00001018406,0.0005857361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01451042,"threshold_uncertainty_score":0.6953105,"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."}}