{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002940861,0.0005173375,0.0002871105,0.0002679568,0.000267097,0.0004183956,0.0005727059,0.0003083193,0.0009972194],"category_scores_gemma":[0.0002396539,0.0001835646,0.0004921549,0.0003115049,0.0002682799,0.0002348609,0.0004093477,0.000260738,0.0001798823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009408157,"about_ca_system_score_gemma":0.0003776809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01976535,"about_ca_topic_score_gemma":0.03794688,"domain_scores_codex":[0.9996274,0.00004160593,0.00002703232,0.0001211884,0.0001270062,0.00005577251],"domain_scores_gemma":[0.999604,0.00005418377,0.0001096779,0.00004692194,0.0001094862,0.00007576511],"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":[0.002081606,0.0003734554,0.04076881,0.0002536763,0.0001579687,0.0001548706,0.0002154582,0.001885677,0.9365915,0.00007185301,0.0001803868,0.01726471],"study_design_scores_gemma":[0.000182668,0.0152786,0.4396926,0.00003184445,0.0004678392,0.0003541716,0.000377743,0.007211419,0.532974,0.00008855751,0.003236708,0.0001038598],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982942,0.0001088721,0.0008898083,0.000006197103,0.000003997924,0.00003358548,0.0003463685,0.00002608878,0.0002908892],"genre_scores_gemma":[0.9903172,0.0002418105,0.006115066,0.00004817572,0.000003718209,0.0001290599,0.001375322,0.00001084499,0.001758921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01976535,"threshold_uncertainty_score":0.03930062,"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."}}