{"id":"W2004228600","doi":"10.2134/jeq2008.0531","title":"Performance of a Dispersion Model to Estimate Methane Loss from Cattle in Pens","year":2009,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"TRACER; Dispersion (optics); Animal science; Beef cattle; Silage; Hordeum vulgare; Environmental science; Methane emissions; Dry matter; Methane; Mathematics; Chemistry; Agronomy; Biology; Physics; Poaceae","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001498714,0.0006282171,0.000681625,0.0005868123,0.0003640016,0.0006588942,0.0008779776,0.0007366447,0.0006641438],"category_scores_gemma":[0.002668528,0.0004298962,0.0005783246,0.0004169358,0.0002746403,0.0005016297,0.0005700024,0.0005752753,0.0001802747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008979256,"about_ca_system_score_gemma":0.0009915073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04148854,"about_ca_topic_score_gemma":0.01335737,"domain_scores_codex":[0.9997424,0.00009238744,0.00001941033,0.00006603325,0.00004250351,0.00003718482],"domain_scores_gemma":[0.9989051,0.0007271732,0.00009695716,0.00005278829,0.0001765579,0.00004141915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001316508,0.00003481914,0.005984627,0.00001148353,0.00003388548,0.00001835847,0.0000168383,0.9826613,0.0007912884,0.0001734648,0.00006714549,0.01007516],"study_design_scores_gemma":[0.000003191915,0.00001103306,0.0004308731,0.000001002668,0.000001927474,0.000002136478,0.000003119123,0.9993219,0.0001500726,0.00005362805,0.00001921556,0.000001837131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7640119,0.0002027464,0.233191,0.0001489769,0.00002226079,0.000041219,0.0003054045,0.0006527866,0.001423688],"genre_scores_gemma":[0.9746558,0.00006192146,0.02394439,0.00001754501,0.000006432868,0.00003600978,0.0003809942,0.00003242458,0.0008645105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04148854,"threshold_uncertainty_score":0.08249408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02368465506375095,"score_gpt":0.302647857763273,"score_spread":0.278963202699522,"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."}}