{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001282784,0.0002707001,0.000257255,0.0001708271,0.001166471,0.0001112408,0.0006598592,0.0001033836,0.0001418605],"category_scores_gemma":[0.002241998,0.0001845684,0.00006366026,0.00371272,0.0006810747,0.001185324,0.000187335,0.0003459044,0.0001472457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016713,"about_ca_system_score_gemma":0.0002260046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02228313,"about_ca_topic_score_gemma":0.005878388,"domain_scores_codex":[0.9969547,0.0001889416,0.0004600749,0.001005124,0.0006594692,0.0007316863],"domain_scores_gemma":[0.9980381,0.00003279925,0.0001750334,0.0005782635,0.00006756151,0.001108263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000142825,0.0001220991,0.339779,0.00005037744,0.00001427267,0.00001321423,0.01269445,0.05731174,0.5796799,0.00007705267,0.002081063,0.008034041],"study_design_scores_gemma":[0.0004046041,0.001183964,0.60514,0.00040132,0.00009404181,0.0004235226,0.1969773,0.001695365,0.1736981,0.0001512712,0.01853493,0.001295467],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790463,0.00002599001,0.0004219261,0.01855073,0.0004154518,0.001207957,0.00001421188,0.0001121443,0.0002052703],"genre_scores_gemma":[0.9982482,0.00001349578,0.000895692,0.0005258542,0.0001627853,0.00003925711,0.00001220094,0.0000164642,0.00008602877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4059818,"threshold_uncertainty_score":0.9842276,"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."}}