{"id":"W2005005055","doi":"10.3168/jds.2011-5229","title":"Life-cycle assessment of greenhouse gas emissions from dairy production in Eastern Canada: A case study","year":2012,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Greenhouse gas; Life-cycle assessment; Environmental science; Ice calving; Dairy cattle; Animal science; Agriculture; Manure management; Dairy farming; Agricultural science; Production (economics); Milk production; Biology; Lactation; Ecology","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":[0.001368588,0.0001283827,0.0002163794,0.00006830397,0.0001815611,0.00001979513,0.0003628746,0.00003063148,0.0002125161],"category_scores_gemma":[0.0003458023,0.00008895918,0.00004514174,0.0005851226,0.0003513808,0.001507226,0.0002422968,0.0002656493,0.000002709073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258326,"about_ca_system_score_gemma":0.0004246401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2257555,"about_ca_topic_score_gemma":0.1247392,"domain_scores_codex":[0.9978009,0.0001181445,0.0005051491,0.0002164727,0.0009966516,0.0003626515],"domain_scores_gemma":[0.9987509,0.00004815613,0.0003683025,0.0002592743,0.00001851781,0.0005548018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001588533,0.001137459,0.9803043,0.000004435269,0.000007460306,0.0002274241,0.004140608,0.007362459,0.003895913,3.732182e-7,0.0004303223,0.002473349],"study_design_scores_gemma":[0.0003217751,0.000244883,0.9690855,0.00002145792,0.00002237542,0.0004725778,0.02881617,0.0003757497,0.0003752304,0.00002303151,0.0001306963,0.000110621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987173,0.00004147699,0.00003461236,0.0004224163,0.0003360973,0.0002331327,0.000004273774,0.000003340812,0.0002073503],"genre_scores_gemma":[0.9992015,0.000004872772,0.0005831827,0.0000580052,0.0000916721,0.000002299393,3.009073e-7,0.000004930218,0.00005317198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1010162,"threshold_uncertainty_score":0.891232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557411526350928,"score_gpt":0.2715106625821869,"score_spread":0.2559365473186777,"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."}}