{"id":"W4404345523","doi":"10.3390/su16229915","title":"Analyzing the Impacts of Inter-Provincial Trade on the Quantitative and Spatial Characteristics of Six Embodied Air Pollutants in China Through Multi-Scenario Simulation","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Beijing Municipal Social Science Foundation; Natural Science Foundation of Beijing Municipality","keywords":"China; Air pollutants; Pollutant; Embodied cognition; Environmental science; Economic geography; Environmental engineering; Air pollution; Environmental resource management; Geography; Computer science; Ecology; Artificial intelligence","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":[0.001143933,0.0009881591,0.0006900431,0.001093517,0.0007743949,0.001088265,0.001156888,0.001271196,0.002010567],"category_scores_gemma":[0.001680459,0.0004534232,0.002007329,0.001337328,0.0007701123,0.001090043,0.0009316467,0.0008541662,0.00009548326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002958809,"about_ca_system_score_gemma":0.00234373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2145675,"about_ca_topic_score_gemma":0.09634001,"domain_scores_codex":[0.9996941,0.0001220484,0.00001354235,0.00004680916,0.00002721152,0.00009635542],"domain_scores_gemma":[0.9990814,0.000476345,0.0001075569,0.00005792471,0.0001879107,0.0000888947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003846421,0.00003522569,0.007272689,0.00001717626,0.00003508387,0.000112526,0.00002447414,0.9905999,0.0001996476,0.000865588,0.0001043299,0.0006949082],"study_design_scores_gemma":[0.0000164414,0.00001747964,0.002698441,0.000003280146,0.00002137302,0.000005942205,0.00006719214,0.9966467,0.000101071,0.0003070368,0.0001073324,0.000007725612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931431,0.0000905855,0.003616831,0.0001796526,0.00001424911,0.00002399123,0.0005436913,0.00004385315,0.002344011],"genre_scores_gemma":[0.9976168,0.00008216005,0.001265567,0.00001352547,0.000003120745,0.00002868613,0.00032843,0.000007795729,0.0006540639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2145675,"threshold_uncertainty_score":0.4266371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538379138278318,"score_gpt":0.2922879972144651,"score_spread":0.2769042058316819,"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."}}