{"id":"W4233592593","doi":"10.5194/acp-2017-646","title":"Comparison and evaluation of anthropogenic emissions of SO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;and NO&amp;lt;sub&amp;gt;x over China","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"NOx; Environmental science; Emission inventory; Eclipse; Pollution; China; Atmospheric sciences; Meteorology; Air quality index; Geography; Chemistry; Physics; Combustion","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":[0.001176799,0.0008291182,0.0003542413,0.0009633205,0.0003187988,0.0007039962,0.0005943688,0.0002711657,0.0003815934],"category_scores_gemma":[0.0007052402,0.0002506048,0.000805768,0.00099665,0.0002482265,0.001047411,0.000453885,0.0001990871,0.0000721949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123798,"about_ca_system_score_gemma":0.0008971701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1040236,"about_ca_topic_score_gemma":0.07816496,"domain_scores_codex":[0.9996765,0.00007191175,0.00002664318,0.00007192334,0.00009713582,0.00005595186],"domain_scores_gemma":[0.9995717,0.00008405428,0.00005001012,0.00006605328,0.0001884141,0.00003976385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003977798,0.0001688274,0.6344936,0.0002106516,0.0005226854,0.000324661,0.0001697301,0.321367,0.01063761,0.001058738,0.0008438423,0.02980486],"study_design_scores_gemma":[0.00005756148,0.000121646,0.4504056,0.00003329125,0.0002751927,0.00004463286,0.000221686,0.5329704,0.0136011,0.0003704065,0.001845972,0.00005266695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962454,0.0001257951,0.001422335,0.00003300571,0.000008693263,0.00001238022,0.001199247,0.00007333294,0.0008797629],"genre_scores_gemma":[0.9965576,0.000108434,0.001214767,0.000007744719,0.00000447317,0.00001085723,0.001883826,0.00001320683,0.0001989889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1040236,"threshold_uncertainty_score":0.2068363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06861900013749866,"score_gpt":0.3341558733017825,"score_spread":0.2655368731642839,"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."}}