{"id":"W2038181047","doi":"10.3168/jds.2013-6563","title":"Carbon footprint of Canadian dairy products: Calculations and issues","year":2013,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Agriculture and Agri-Food Canada","funders":"","keywords":"Carbon footprint; Greenhouse gas; Livestock; Raw milk; Agricultural science; Carbon dioxide equivalent; Environmental science; Dairy cattle; Herd; Dairy industry; Agricultural economics; Animal science; Food science; Geography; Economics; Biology","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":[0.0005317344,0.00008454369,0.0001289892,0.0001647013,0.0001460673,0.00003878933,0.0002877765,0.00003197557,0.0001502377],"category_scores_gemma":[0.0002096998,0.0000576719,0.00002907904,0.0007918901,0.0009913883,0.0005000301,0.000114716,0.0001230753,0.000007768142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003258663,"about_ca_system_score_gemma":0.00009333101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07877839,"about_ca_topic_score_gemma":0.005260851,"domain_scores_codex":[0.9988603,0.00002577577,0.0002708822,0.0001609587,0.0004251259,0.0002569514],"domain_scores_gemma":[0.9992817,0.00001623335,0.0001633239,0.0001632489,0.0000416993,0.0003337996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001166353,0.000191872,0.6655195,0.00003520334,0.00001694521,0.00001897936,0.006783243,0.004384033,0.3028515,0.0001856133,0.001814549,0.01818688],"study_design_scores_gemma":[0.00009534982,0.0001382723,0.9846458,0.00001276206,0.000008357159,0.00006722663,0.001485563,0.0001406084,0.009220066,0.0005179058,0.003581804,0.0000862312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924169,0.0001004123,0.000005263194,0.003499906,0.00008191909,0.0001423271,0.000001174389,0.000002623531,0.00374943],"genre_scores_gemma":[0.9978129,0.00003002351,0.001820518,0.00004747708,0.00003359835,0.000001204534,1.729214e-7,0.000002813822,0.0002512387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3191264,"threshold_uncertainty_score":0.9273561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009423542840921732,"score_gpt":0.2234634241435766,"score_spread":0.2140398813026548,"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."}}