{"id":"W4413347289","doi":"10.1021/acs.est.5c03133","title":"Unraveling the Spatiotemporal Heterogeneity in the Oxidation Potential of Fine Particulate Matter in China","year":2025,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"National Key Research and Development Program of China; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Particulates; Environmental chemistry; Environmental 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006115799,0.0002736833,0.0002588893,0.001077922,0.0003150709,0.0004487367,0.0003283356,0.0002039726,0.0003476579],"category_scores_gemma":[0.000472968,0.0001614673,0.0005148891,0.001359302,0.0001690998,0.0004872339,0.0004988648,0.0001861881,0.00007101602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008233723,"about_ca_system_score_gemma":0.001336893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1329707,"about_ca_topic_score_gemma":0.1507251,"domain_scores_codex":[0.9998032,0.00002893306,0.00001819374,0.00006487287,0.00003620825,0.00004853344],"domain_scores_gemma":[0.9997182,0.00003536716,0.00006504997,0.00004055151,0.0001074341,0.00003330946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004530103,0.00002699595,0.9728888,0.00008989017,0.0001372637,0.0001786861,0.0004552005,0.003005471,0.0045328,0.0005853492,0.0006310808,0.01742317],"study_design_scores_gemma":[0.000001995416,0.000011412,0.9929899,0.000007080937,0.00003927693,0.00001923666,0.000180464,0.005196074,0.0004105161,0.0001755696,0.0009604041,0.000008036389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976709,0.0003240713,0.000488355,0.0001141044,0.000005522947,0.000006757338,0.0007925703,0.000009148434,0.0005885637],"genre_scores_gemma":[0.9985009,0.0001796648,0.0002324528,0.00002569892,0.000006735122,0.000006165295,0.000799323,0.00000326528,0.0002456366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1329707,"threshold_uncertainty_score":0.2643936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101311597242561,"score_gpt":0.2709633448449117,"score_spread":0.2608321851206556,"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."}}