{"id":"W2947954288","doi":"10.3390/atmos10060302","title":"Characterization and Risk Assessment of Particulate Matter and Volatile Organic Compounds in Metro Carriage in Shanghai, China","year":2019,"lang":"en","type":"article","venue":"Atmosphere","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"China Scholarship Council","keywords":"Particulates; Environmental science; Air quality index; Environmental chemistry; Rush hour; Environmental engineering; Carriage; Train; Volatile organic compound; Ethylbenzene; Benzene; Indoor air quality; Ventilation (architecture); Waste management; Meteorology; Chemistry; Engineering","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":[0.0003125643,0.0005518071,0.0002677073,0.001053212,0.0004161776,0.0006414717,0.0002404406,0.0003599735,0.0003835667],"category_scores_gemma":[0.0002162102,0.0001930382,0.0003769502,0.0007560643,0.0002026163,0.0002909709,0.0003131987,0.0001120225,0.00008579979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000528999,"about_ca_system_score_gemma":0.0005160187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04908447,"about_ca_topic_score_gemma":0.05760573,"domain_scores_codex":[0.9997727,0.00003883905,0.00001684865,0.00004830234,0.00008361844,0.00003967607],"domain_scores_gemma":[0.9997604,0.00001939847,0.00008063541,0.00001095256,0.0001008394,0.00002767801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001222984,0.00005858475,0.965277,0.00009467484,0.00009654029,0.0004071856,0.0005855267,0.001263632,0.02351864,0.00007735194,0.0002026585,0.008296112],"study_design_scores_gemma":[0.000002592313,0.0001025164,0.9946801,0.000004953094,0.00006685101,0.00008831667,0.0004190593,0.001828386,0.002265633,0.00003022582,0.0005028139,0.000008575916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991527,0.000195368,0.0003586479,0.00001185742,0.000002395051,0.000004324301,0.00009454067,0.000005337874,0.0001747997],"genre_scores_gemma":[0.9990203,0.0001240936,0.0002147739,0.000009125858,0.000004239743,0.000004472948,0.0002322204,0.000002732363,0.0003879591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04908447,"threshold_uncertainty_score":0.09759748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008632447498087474,"score_gpt":0.2576150425456695,"score_spread":0.2489825950475821,"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."}}