{"id":"W2120224853","doi":"10.4209/aaqr.2013.01.0032","title":"Distribution of Polychlorinated Dibenzo-p-dioxins and Dibenzofurans in the Atmosphere of Beijing, China","year":2014,"lang":"en","type":"article","venue":"Aerosol and Air Quality Research","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Beijing; Congener; Seasonality; Environmental science; Environmental chemistry; Atmosphere (unit); Polychlorinated Dibenzo-p-dioxins; Polychlorinated dibenzofurans; Spatial distribution; Atmospheric sciences; Chemistry; Meteorology; China; Geography; Geology","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":[0.0002117866,0.0003285865,0.0002583742,0.00114123,0.0003524403,0.0004060494,0.0002918513,0.0002691413,0.0007730961],"category_scores_gemma":[0.0001291907,0.0002237024,0.0002329827,0.001333011,0.000215842,0.0002656426,0.0002670242,0.00009842708,0.0002013913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000888482,"about_ca_system_score_gemma":0.0003943797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04121627,"about_ca_topic_score_gemma":0.0524509,"domain_scores_codex":[0.9997886,0.00001543299,0.00001913606,0.00006199486,0.00007843792,0.00003641467],"domain_scores_gemma":[0.9998707,0.00001071935,0.00003608976,0.000007035742,0.00004481406,0.00003067306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000183737,0.00005077835,0.9258294,0.0001270489,0.0001051099,0.0004457514,0.0004564809,0.0007092557,0.05740317,0.00007145144,0.0004383193,0.01417944],"study_design_scores_gemma":[0.000002449854,0.00001737051,0.9988329,0.000001350868,0.000007214153,0.0000529886,0.00006384419,0.0001590746,0.0006335984,0.000007891307,0.0002183093,0.000003150296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984855,0.000248033,0.00009158467,0.00001812138,0.000002667749,0.000005980979,0.0005331416,0.000009261197,0.0006057416],"genre_scores_gemma":[0.9980345,0.0001818992,0.0001461219,0.00001429293,0.000005042435,0.00001025436,0.0007853128,0.000002513007,0.0008201343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04121627,"threshold_uncertainty_score":0.08195275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03614579590923625,"score_gpt":0.334541960047792,"score_spread":0.2983961641385557,"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."}}