{"id":"W3034220038","doi":"10.1016/j.psj.2020.05.004","title":"Reconsidering the contribution of Canadian poultry production to anthropogenic greenhouse gas emissions: returning to an integrated crop–poultry production system paradigm","year":2020,"lang":"en","type":"article","venue":"Poultry Science","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Government of Alberta","funders":"Alberta Agriculture and Forestry","keywords":"Carbon footprint; Greenhouse gas; Environmental science; Life-cycle assessment; Carbon dioxide equivalent; Agriculture; Production (economics); Crop; Agricultural science; Agricultural economics; Agronomy; Ecology; Biology; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001742654,0.000825204,0.0003915826,0.002105157,0.005353783,0.006793882,0.002177184,0.001193018,0.00297468],"category_scores_gemma":[0.001439368,0.0002930111,0.0008246723,0.00314701,0.005944404,0.001992102,0.001872387,0.001841222,0.0001822939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1253706,"about_ca_system_score_gemma":0.09549616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9903787,"about_ca_topic_score_gemma":0.9930762,"domain_scores_codex":[0.9980022,0.0003348847,0.00003886822,0.0002468906,0.0008299447,0.0005471122],"domain_scores_gemma":[0.9985794,0.0001798593,0.00006226641,0.00005911835,0.0009682111,0.0001512772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002292176,0.0001009444,0.04334817,0.0006646442,0.0002747615,0.002487336,0.01322666,0.06917368,0.008390153,0.7738381,0.01953303,0.06873334],"study_design_scores_gemma":[0.0000869429,0.0001760447,0.1284029,0.0008421508,0.000513373,0.0006327937,0.05713561,0.07857036,0.004362925,0.1751499,0.5537311,0.0003959744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4294777,0.009283548,0.03386634,0.0632822,0.0005213969,0.000188943,0.003134632,0.0001409464,0.4601043],"genre_scores_gemma":[0.976795,0.00306663,0.008996982,0.001223087,0.00006212688,0.00003383667,0.0003647639,0.00003865913,0.009418898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1253706,"threshold_uncertainty_score":0.9096314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03315409124586272,"score_gpt":0.2379296194729202,"score_spread":0.2047755282270575,"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."}}