{"id":"W2058156493","doi":"10.1080/10440046.2010.493376","title":"The Protein-based GHG Emission Intensity for Livestock Products in Canada","year":2010,"lang":"en","type":"article","venue":"Journal of Sustainable Agriculture","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Livestock; Emission intensity; Environmental science; Greenhouse gas; Intensity (physics); Agricultural economics; Business; Natural resource economics; Agricultural science; Environmental protection; Chemistry; Geography; Economics; Ecology; Biology; Forestry; Physics","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":[0.0007052636,0.000201018,0.0002319565,0.00002160379,0.0003960601,0.00006172989,0.0004271498,0.0001104944,0.00005425774],"category_scores_gemma":[0.0008491451,0.00009338538,0.00009422842,0.0003913799,0.0001302233,0.0003688028,0.0001094413,0.0007275,0.000001930397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002011702,"about_ca_system_score_gemma":0.000518168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1464515,"about_ca_topic_score_gemma":0.2574876,"domain_scores_codex":[0.9983044,0.00005330097,0.0004086051,0.0002114416,0.000454587,0.0005676156],"domain_scores_gemma":[0.998976,0.00009668082,0.0003486587,0.0002044348,0.0001704793,0.000203744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001812132,0.001159796,0.1989227,0.000475013,0.00007885418,0.0009342848,0.002147712,0.02121638,0.37179,0.000673148,0.3950522,0.005737801],"study_design_scores_gemma":[0.001218039,0.0005202134,0.5502962,0.00005197241,0.00004119107,0.000180265,0.03441709,0.0001161306,0.0458191,0.001861047,0.3650108,0.0004678803],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894552,0.00006779806,0.00003497546,0.008886946,0.0001609673,0.001082219,0.000002143631,0.000005367921,0.0003044242],"genre_scores_gemma":[0.9951994,0.00000453099,0.0006211558,0.0001852486,0.0001531339,0.00003368149,0.000002919442,0.000008720935,0.003791194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3513736,"threshold_uncertainty_score":0.8592323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003110899341092518,"score_gpt":0.1762364891016565,"score_spread":0.1731255897605639,"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."}}