{"id":"W7095607637","doi":"","title":"ASSESSING SOURCES OF PM2.5 9 ASSESSING SOURCES OF PM2.5 IN CITIES INFLUENCED BY REGIONAL TRANSPORT","year":2015,"lang":"en","type":"article","venue":"","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air quality index; Particulates; Human health; Air pollution; Production (economics); Quality (philosophy)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006901648,0.0007684673,0.0003766409,0.002729694,0.0005731641,0.001448963,0.0006871141,0.0005037051,0.0008540078],"category_scores_gemma":[0.0009379802,0.0003319815,0.0009590517,0.002287886,0.0002500198,0.000417206,0.0009505506,0.0001829279,0.0003463915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00334726,"about_ca_system_score_gemma":0.002264765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4865942,"about_ca_topic_score_gemma":0.620303,"domain_scores_codex":[0.9994462,0.00006935337,0.00003368168,0.00009670173,0.0002456524,0.000108375],"domain_scores_gemma":[0.9994321,0.00007799293,0.0001171829,0.00003061952,0.0002913589,0.00005073867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001762843,0.00005523466,0.9629635,0.0002592173,0.0003367833,0.0004904635,0.0007506632,0.01080534,0.008427044,0.0001832145,0.0007526373,0.01479969],"study_design_scores_gemma":[0.000004260462,0.00004948428,0.9906862,0.00001972808,0.0001082043,0.00006757606,0.0008436156,0.005721751,0.001489868,0.00003782051,0.0009564451,0.00001491715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913556,0.0004908995,0.002554967,0.00004744994,0.000006903311,0.0001585059,0.003044713,0.00005679345,0.002284276],"genre_scores_gemma":[0.9933647,0.0003495403,0.002970456,0.00001384505,0.00000590824,0.000046702,0.002089408,0.00001281777,0.001146596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4865942,"threshold_uncertainty_score":0.9675239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1007898414965313,"score_gpt":0.3525240764979148,"score_spread":0.2517342350013835,"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."}}