{"id":"W2602490399","doi":"10.1111/sum.12336","title":"Potential for mitigating atmospheric ammonia in Canada","year":2017,"lang":"en","type":"article","venue":"Soil Use and Management","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atomic Energy (Canada); Agriculture and Agri-Food Canada","funders":"","keywords":"Environmental science; Context (archaeology); Agriculture; Livestock; Particulates; Natural resource economics; Production (economics); Slurry; Pollution prevention; Business; Environmental protection; Environmental engineering; Agricultural economics; Waste management; Engineering; Economics; Geography; Ecology; Forestry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000381918,0.00007001281,0.00009358399,0.000005700399,0.0001078882,0.00006097992,0.0001330177,0.00002517738,0.000004138196],"category_scores_gemma":[0.00005428141,0.00006408025,0.00001885894,0.00001532784,0.00001209412,0.00008704174,0.0001299004,0.0000483417,5.814443e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006046769,"about_ca_system_score_gemma":0.00001350335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3342635,"about_ca_topic_score_gemma":0.3336294,"domain_scores_codex":[0.9995335,0.000001694297,0.00009662759,0.0001305066,0.00006229789,0.0001753546],"domain_scores_gemma":[0.9997073,0.0000154333,0.00003409506,0.000204499,0.000008297395,0.0000303749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001333266,0.00007126215,0.05590643,0.001203446,0.0003103837,0.0003698478,0.0001296918,0.01771463,0.01288389,0.01345393,0.01441971,0.8834035],"study_design_scores_gemma":[0.006137117,0.00005214845,0.190681,0.0004423437,0.0001304833,0.000003603679,0.001609337,0.7292869,0.01223972,0.003238987,0.05525328,0.0009251391],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957925,0.00008429126,0.002129233,0.0007216423,0.0001477459,0.0001652993,0.000003763194,0.00005243931,0.0009030781],"genre_scores_gemma":[0.9959668,0.0001081605,0.003049766,0.00006286603,0.00002124611,0.00003993521,0.000001510538,0.000008094059,0.0007416304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8824783,"threshold_uncertainty_score":0.6785301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086101791948058,"score_gpt":0.2122121339352851,"score_spread":0.2013511160158045,"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."}}