{"id":"W3145496958","doi":"","title":"Emission inventories of primary particles and pollutant gases for China","year":2011,"lang":"en","type":"article","venue":"科学通报(英文版)","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; NOx; Combustion; Air quality index; Pollutant; China; Atmospheric sciences; Emission inventory; Biomass burning; Fossil fuel; Air pollutants; Criteria air contaminants; Meteorology; Aerosol; Air pollution; Geography; Waste management; Chemistry; 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":[0.0004538262,0.0008212376,0.0003442677,0.002023921,0.0003303697,0.0003464692,0.0004442518,0.0001685687,0.001108581],"category_scores_gemma":[0.0003645503,0.0003521365,0.0005727463,0.002806968,0.00008854787,0.0004012746,0.0002375329,0.0001760465,0.0002473373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002091086,"about_ca_system_score_gemma":0.002654459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1236686,"about_ca_topic_score_gemma":0.124007,"domain_scores_codex":[0.9997831,0.00001834152,0.00003653629,0.00005217167,0.00008080198,0.00002895671],"domain_scores_gemma":[0.99971,0.00003017413,0.00005556142,0.00005089217,0.0001284679,0.00002489125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002798926,0.0003137669,0.5331427,0.0008754652,0.0007151816,0.0006527894,0.0006286628,0.2565859,0.02082014,0.004768034,0.01801453,0.1632028],"study_design_scores_gemma":[0.00004200301,0.00007364035,0.8811035,0.00002912906,0.0001463867,0.0001017688,0.00008221366,0.07447356,0.006747042,0.0007016094,0.036432,0.00006726626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8806003,0.0006120387,0.01337862,0.0000781371,0.0000228239,0.0002781523,0.09857073,0.000490583,0.005968582],"genre_scores_gemma":[0.7930867,0.001096413,0.02070203,0.00005391073,0.00002456171,0.0005404,0.176877,0.0000700744,0.007548926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1236686,"threshold_uncertainty_score":0.2458975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0249389694970086,"score_gpt":0.2087073058833212,"score_spread":0.1837683363863126,"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."}}