{"id":"W2312688542","doi":"10.1021/es404728s","title":"Reducing Nitrous Oxide Emissions to Mitigate Climate Change and Protect the Ozone Layer","year":2014,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nitrous oxide; Greenhouse gas; Environmental science; Ozone; Ozone layer; Climate change; Environmental engineering; Ozone depletion; Environmental protection; Montreal Protocol; Climate change mitigation; Natural resource economics; Meteorology; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003433306,0.00038064,0.0001450581,0.0003896635,0.0003904829,0.0004066214,0.0003392077,0.000281083,0.000978716],"category_scores_gemma":[0.0001964666,0.0000715873,0.0003816843,0.0002930818,0.0002198638,0.0005130321,0.0003468361,0.0001701503,0.0001345934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009378609,"about_ca_system_score_gemma":0.001788744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01773259,"about_ca_topic_score_gemma":0.04665919,"domain_scores_codex":[0.9998481,0.00002803141,0.000005689482,0.00002139207,0.00005401945,0.00004266217],"domain_scores_gemma":[0.9999231,0.000008716331,0.00002192625,0.000005719854,0.00002802694,0.00001251937],"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":[0.0003592216,0.0004401601,0.209496,0.001110731,0.0004216743,0.0005176226,0.0004163091,0.141344,0.3675772,0.01635105,0.004416522,0.2575496],"study_design_scores_gemma":[0.0001370451,0.001492333,0.421883,0.0002202892,0.0005759001,0.000344817,0.001752345,0.1327857,0.3220002,0.01311278,0.1055835,0.0001121084],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577036,0.004594998,0.01353427,0.001962159,0.0001010019,0.00006806618,0.0003811167,0.0001420644,0.02151277],"genre_scores_gemma":[0.993239,0.002156125,0.003054942,0.00008558629,0.00001435434,0.00001499478,0.0001031034,0.000005021922,0.001326836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01773259,"threshold_uncertainty_score":0.03525877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145405536491129,"score_gpt":0.2008715682352821,"score_spread":0.1894175128703708,"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."}}