{"id":"W4294316760","doi":"10.1029/2022ef002774","title":"Decomposing Three Decades of Nitrogen Emissions in Canada","year":2022,"lang":"en","type":"article","venue":"Earth s Future","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Agriculture; Population; Per capita; Emission intensity; Environmental science; Agricultural economics; Unit (ring theory); Fossil fuel; Geography; Natural resource economics; Environmental protection; Economics; Ecology; Chemistry; Mathematics; Demography; 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":[0.0005392151,0.0005230597,0.000465817,0.004612772,0.001239072,0.001577527,0.000693319,0.0003238388,0.002005304],"category_scores_gemma":[0.001328893,0.000219428,0.001048415,0.009297184,0.0003942406,0.0004597886,0.0008227611,0.0004984238,0.0001926205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02576967,"about_ca_system_score_gemma":0.02991301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938986,"about_ca_topic_score_gemma":0.9949436,"domain_scores_codex":[0.9994889,0.00001574593,0.00002529968,0.00008306449,0.0001833705,0.0002035499],"domain_scores_gemma":[0.9987552,0.0000557608,0.0001310713,0.00003340322,0.0008816971,0.0001428728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002513278,0.00005353154,0.9305242,0.000305298,0.0006689823,0.0005186479,0.001055181,0.01384166,0.001658664,0.002769734,0.01057501,0.0377778],"study_design_scores_gemma":[0.000007939802,0.00001855665,0.9703724,0.00008158504,0.0001398269,0.0000587875,0.001506891,0.00913979,0.0005391067,0.0004045601,0.01768724,0.00004330682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9204027,0.003222833,0.001300651,0.0007700397,0.00006994524,0.00005676895,0.06195397,0.0001213388,0.01210183],"genre_scores_gemma":[0.9641876,0.001611319,0.0009822507,0.0001467775,0.00001745281,0.00002788568,0.02923561,0.00003118423,0.003759824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02576967,"threshold_uncertainty_score":0.1869729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594899836741114,"score_gpt":0.2504097144959624,"score_spread":0.2344607161285513,"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."}}