{"id":"W3028338699","doi":"10.1038/s41597-020-0488-5","title":"Global high-resolution emissions of soil NOx, sea salt aerosols, and biogenic volatile organic compounds","year":2020,"lang":"en","type":"article","venue":"Scientific Data","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":186,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Environmental science; NOx; Pollutant; Air quality index; Methane; Greenhouse gas; Pollution; Air pollution; Sea salt; Atmospheric sciences; Climate change; Environmental chemistry; Carbon cycle; Atmosphere (unit); Aerosol; Meteorology; Oceanography; Ecosystem; Chemistry; Ecology; Geography; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000405861,0.0005738323,0.0003749877,0.0006298394,0.0002602117,0.0006332422,0.0004964962,0.0006248314,0.001915152],"category_scores_gemma":[0.000632901,0.0002452907,0.0009606787,0.00131973,0.0002760318,0.0006453171,0.000515745,0.0005549846,0.0003549803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005645361,"about_ca_system_score_gemma":0.0007590562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05895097,"about_ca_topic_score_gemma":0.03882639,"domain_scores_codex":[0.9998626,0.00001657187,0.00001236263,0.00004664248,0.0000298801,0.00003185655],"domain_scores_gemma":[0.999736,0.00004897507,0.00003525625,0.00006010231,0.00008744183,0.00003217591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002452516,0.0004003749,0.1835908,0.0001431486,0.0004924033,0.0002288099,0.00007123812,0.7737061,0.01939986,0.001342317,0.005175446,0.01520428],"study_design_scores_gemma":[0.0003051335,0.00007384061,0.277433,0.00004490403,0.0001592064,0.00007622715,0.00021783,0.6929042,0.01799001,0.001755461,0.008922436,0.0001178205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9760685,0.0001501945,0.002743039,0.0002147245,0.00004941678,0.00002311896,0.01745028,0.0007043311,0.00259639],"genre_scores_gemma":[0.9671467,0.0001121874,0.005203287,0.00006101276,0.0000224438,0.00003168785,0.02671871,0.0001201525,0.0005838207],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.05895097,"threshold_uncertainty_score":0.1172156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03046131893085998,"score_gpt":0.2288782553762343,"score_spread":0.1984169364453743,"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."}}