{"id":"W2608333524","doi":"","title":"Emission Projection of Air Pollutants By Using End-Use Model and Analsis of The Chemical Transport in Asia (共著)","year":2007,"lang":"en","type":"article","venue":"","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nuclear Waste Management Organization","funders":"","keywords":"Pollutant; Air pollutants; Environmental science; Projection (relational algebra); Air pollution; Meteorology; Geography; Computer science; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001185663,0.00005980382,0.00009437995,0.00004723064,0.00001420198,0.000001223398,0.00004026727,0.00006604141,0.00001180614],"category_scores_gemma":[0.000004036896,0.00004154928,0.00002224706,0.0001954303,0.00002016922,0.00009303214,0.00000731297,0.00007882769,2.789295e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002070917,"about_ca_system_score_gemma":0.00001275752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007937956,"about_ca_topic_score_gemma":0.00001594141,"domain_scores_codex":[0.9995493,0.00000309298,0.000195587,0.00006449725,0.00008772914,0.0000998086],"domain_scores_gemma":[0.9998463,0.000009231855,0.0000219596,0.00008125626,0.00001092133,0.00003036325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001742125,0.00001830819,0.02827071,0.00004558421,0.000003926513,2.133391e-7,0.0002133872,0.01512665,0.9491632,0.000005387928,0.00002227734,0.00711292],"study_design_scores_gemma":[0.0001147885,0.000003648033,0.01923686,0.00005222893,0.0000037044,0.000002429465,0.00003583564,0.4949785,0.4855091,0.000005250839,0.00001825893,0.00003944734],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968522,0.00004401795,0.00242905,0.00001055505,0.00001611095,0.00006513849,0.00001170505,0.00001637743,0.0005548273],"genre_scores_gemma":[0.9990396,0.00003126335,0.000846792,0.000004810254,0.000005233948,3.891092e-7,7.433341e-7,0.000007894172,0.00006319527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4798518,"threshold_uncertainty_score":0.169433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557739537131371,"score_gpt":0.2383961846981407,"score_spread":0.222818789326827,"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."}}