{"id":"W1488238779","doi":"10.5772/31948","title":"Greenhouse Gas Emissions Non-Cattle Confinement Buildings: Monitoring, Emission Factors and Mitigation","year":2012,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Université Laval; Institut de Recherche et de Développement en Agroenvironnement; Agriculture and Agri-Food Canada","funders":"","keywords":"Greenhouse gas; Nitrous oxide; Environmental science; Kyoto Protocol; Methane; Carbon dioxide; Global warming; Greenhouse effect; Atmosphere (unit); Climate change; Environmental protection; Environmental engineering; Meteorology; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001121185,0.0006115229,0.0005546979,0.0002468434,0.0001548708,0.00005095453,0.0003439563,0.0009635653,0.0004397432],"category_scores_gemma":[0.000156331,0.0004984598,0.0001917854,0.00001774792,0.0001448353,0.00005903142,0.000329016,0.0009868009,0.00003571168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000151528,"about_ca_system_score_gemma":0.0000372499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004010004,"about_ca_topic_score_gemma":0.000001338798,"domain_scores_codex":[0.9981871,0.000005249547,0.0005154822,0.0004893675,0.000356336,0.0004464726],"domain_scores_gemma":[0.998665,0.0001358826,0.0002375211,0.0005375413,0.00009395435,0.0003301073],"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":[0.00001877097,0.0000176557,0.0003545831,0.0001452892,0.000109061,0.000006650562,0.0002289326,6.72307e-7,0.9307489,0.001140781,0.001242698,0.06598597],"study_design_scores_gemma":[0.0003273379,0.00005876314,0.00002345135,0.001225804,0.0001042285,0.000008522128,0.0001004432,0.00003648108,0.8154372,0.001849608,0.1802946,0.0005336034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1428519,0.004858397,0.01115992,0.0006242584,0.002639269,0.002082156,0.0002041288,0.005208921,0.8303711],"genre_scores_gemma":[0.7411582,0.0002874483,0.0007350536,0.00001885226,0.0004258882,0.00004344449,0.00002755842,0.0001630324,0.2571405],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5983063,"threshold_uncertainty_score":0.9997467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191228110835457,"score_gpt":0.2491076472229769,"score_spread":0.2271953661146223,"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."}}