{"id":"W2064209153","doi":"10.1016/j.agrformet.2004.11.014","title":"A micrometeorological mass balance approach for greenhouse gas flux measurements from stored animal manure","year":2005,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Environmental science; Wind speed; Flux (metallurgy); Atmospheric sciences; Manure; Wind direction; Methane; Sampling (signal processing); Airflow; Tower; Meteorology; Greenhouse gas; Trace gas; Mass flux; Hydrology (agriculture); Chemistry; Mechanics; Geology; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001351122,0.0003246101,0.000492363,0.00005043227,0.0001296795,0.00003023059,0.000332669,0.0004541441,0.00006761604],"category_scores_gemma":[0.0001774394,0.0001925591,0.0001494312,0.0001188378,0.0001150755,0.0001422338,0.0001023843,0.0002943103,0.00001796722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004775184,"about_ca_system_score_gemma":0.000005150538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003515707,"about_ca_topic_score_gemma":0.00002232456,"domain_scores_codex":[0.9983773,0.00003522502,0.0003227137,0.0005433043,0.0001593065,0.000562213],"domain_scores_gemma":[0.9993442,0.0001440946,0.00009288256,0.0001984883,0.00007727717,0.000143065],"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":[0.0003714961,0.00009994836,0.007008869,0.00002299588,0.0001499481,0.000002603652,0.00005939299,0.0004282476,0.9821405,0.0005486711,0.00374316,0.005424207],"study_design_scores_gemma":[0.02360926,0.005001516,0.3836201,0.00009227375,0.001227383,0.0003344768,0.001075131,0.1444671,0.3570241,0.008633456,0.07060223,0.004312932],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909021,0.001237047,0.004670316,0.001715869,0.00008615062,0.0003799791,0.00006907168,0.0004250121,0.0005145121],"genre_scores_gemma":[0.9648932,0.00004063597,0.03359067,0.0001842458,0.0003643723,0.0001588654,0.0001941181,0.00001801619,0.0005559464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6251163,"threshold_uncertainty_score":0.7852332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316145984465234,"score_gpt":0.220210081670761,"score_spread":0.1970486218261087,"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."}}