{"id":"W2078552271","doi":"10.3390/ani2010001","title":"Greenhouse Gas Emissions from Three Cage Layer Housing Systems","year":2011,"lang":"en","type":"article","venue":"Animals","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Université Laval; Institut de Recherche et de Développement en Agroenvironnement","funders":"Agriculture and Agri-Food Canada; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Manure; Greenhouse gas; Manure management; Nitrous oxide; Environmental science; Carbon dioxide; Cage; Liquid manure; Methane; Animal science; Environmental engineering; Waste management; Chemistry; Agronomy; Ecology; Engineering; Biology","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":[0.00009145015,0.0001782036,0.0002643382,0.00005908436,0.00008516863,0.00002669695,0.000306975,0.0002072866,0.0003819413],"category_scores_gemma":[0.0001817126,0.0001444584,0.00008557429,0.000116872,0.00002963825,0.0000904793,0.0001262988,0.0002432046,0.0001756479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003337019,"about_ca_system_score_gemma":0.00001444021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001869725,"about_ca_topic_score_gemma":0.00006908536,"domain_scores_codex":[0.998952,0.00001141242,0.0002544355,0.0002651633,0.0001494593,0.0003674924],"domain_scores_gemma":[0.9992853,0.00008996829,0.00006213433,0.0004181478,0.00003199936,0.0001124707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004755866,0.00005987397,0.007732807,0.00002841138,0.0000843473,0.00006974748,0.0003409434,0.00004840658,0.9802259,0.003580342,0.0024931,0.005288557],"study_design_scores_gemma":[0.003293586,0.0004105288,0.01607737,0.001137255,0.0003776879,0.00003965826,0.003826628,0.05992232,0.8553671,0.0172876,0.03967944,0.002580839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738703,0.001683767,0.007258849,0.0001161786,0.0002393793,0.0001500927,0.00003598168,0.001607626,0.01503784],"genre_scores_gemma":[0.997918,0.00004360396,0.001421666,0.00002885132,0.0001401419,0.00001664966,0.000002956616,0.00004377646,0.0003843402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1248588,"threshold_uncertainty_score":0.5890842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06649511133837907,"score_gpt":0.2497220683660213,"score_spread":0.1832269570276422,"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."}}