{"id":"W2918639573","doi":"10.1016/j.envpol.2019.02.065","title":"Diurnal and seasonal variations of greenhouse gas emissions from a commercial broiler barn and cage-layer barn in the Canadian Prairies","year":2019,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Chinese Government Scholarship; China Scholarship Council","keywords":"Barn; Environmental science; Greenhouse gas; Nitrous oxide; Manure; Animal science; Carbon dioxide; Flock; Atmospheric sciences; Agronomy; Ecology; Geography; 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":[0.0001897268,0.0002089271,0.0002239472,0.0005208806,0.001246284,0.0005178723,0.0004993722,0.0002798412,0.0007206938],"category_scores_gemma":[0.000246448,0.000259936,0.000186859,0.0006517466,0.0006295231,0.0001950551,0.0002974277,0.0003198561,0.0001326719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006417397,"about_ca_system_score_gemma":0.00284054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9429576,"about_ca_topic_score_gemma":0.9890971,"domain_scores_codex":[0.9998024,0.00001137124,0.000004824191,0.00005407929,0.00006314682,0.00006424617],"domain_scores_gemma":[0.9996177,0.00003747865,0.00004385845,0.00000968208,0.0002001649,0.0000911279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005164124,0.0001555684,0.9355392,0.00005779762,0.0001330527,0.0004194573,0.003797945,0.0009150325,0.04765851,0.0001480064,0.001046674,0.009612288],"study_design_scores_gemma":[0.000001338085,0.00001174,0.9988085,0.000001431091,0.000004410379,0.00001539286,0.0005197433,0.0001543989,0.0002476378,0.000003175363,0.000228371,0.000003834882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985324,0.00005065433,0.00008013704,0.00002077502,0.000002091725,0.000007681371,0.0003050789,0.000005249472,0.0009958518],"genre_scores_gemma":[0.9976664,0.00005741815,0.0002316816,0.00002275138,0.000001502159,0.000007582114,0.000364123,0.000003883808,0.00164468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05704236,"threshold_uncertainty_score":0.1147565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008461053307073725,"score_gpt":0.2002183759196884,"score_spread":0.1917573226126147,"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."}}