{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00334625,0.00009681912,0.0002033003,0.000008474097,0.0001248413,0.00001605471,0.0002667719,0.00007173339,0.0001277647],"category_scores_gemma":[0.0004690661,0.00006561347,0.00003326896,0.0004469641,0.000758706,0.0001382749,0.0001952993,0.0002670229,0.000006237978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004753907,"about_ca_system_score_gemma":0.00001395918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003074422,"about_ca_topic_score_gemma":0.0007137961,"domain_scores_codex":[0.9978674,0.0006515719,0.0002952353,0.000233026,0.000607092,0.0003456839],"domain_scores_gemma":[0.9991773,0.0003465126,0.00007179707,0.0003118361,0.000005279823,0.00008721745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003227792,0.0008054641,0.5848016,0.0001941005,0.00004343143,0.000006625459,0.01137699,0.00003978409,0.1980813,0.004063382,0.0005371057,0.1997274],"study_design_scores_gemma":[0.0004293226,0.0002185458,0.9856141,0.0000263573,0.000003397923,0.000004739649,0.000646341,0.0002032891,0.0118384,0.0007914619,0.0001461359,0.00007786778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968364,0.00008731046,0.00008744337,0.001307074,0.00001586516,0.0001901188,0.00009966105,0.000007604283,0.00136853],"genre_scores_gemma":[0.9997585,0.00006874731,0.00003121236,0.00002933456,0.00001320274,0.00000326875,0.000002874821,0.000006426979,0.00008638923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4008126,"threshold_uncertainty_score":0.4647627,"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."}}