{"id":"W2318848110","doi":"10.1021/acs.est.5b04586","title":"Gaseous and Freely-Dissolved PCBs in the Lower Great Lakes Based on Passive Sampling: Spatial Trends and Air–Water Exchange","year":2015,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; Environment and Climate Change Canada","funders":"Ministry of Education of the People's Republic of China; Environmental Protection Agency","keywords":"Fugacity; Environmental science; Hydrology (agriculture); Spatial variability; Environmental chemistry; Volatilisation; Deposition (geology); Sediment; Chemistry; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001632638,0.0002205536,0.0001922588,0.0005035717,0.0003979573,0.0006330759,0.0002846528,0.0002155689,0.000415823],"category_scores_gemma":[0.0003401194,0.0002294553,0.0001630163,0.001246034,0.0004294131,0.0003072972,0.0005863184,0.0001382223,0.00009453443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002105314,"about_ca_system_score_gemma":0.0009853588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4525732,"about_ca_topic_score_gemma":0.6451738,"domain_scores_codex":[0.9997572,0.00002024745,0.00001340412,0.00009634413,0.00007240727,0.0000403802],"domain_scores_gemma":[0.9996389,0.00003543647,0.0001603592,0.00001465309,0.0001193377,0.00003135643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009028846,0.00001385831,0.9785284,0.00005638094,0.00005404008,0.00008177095,0.001379534,0.0002321671,0.01315006,0.00004368868,0.0001912298,0.006178667],"study_design_scores_gemma":[0.000001472926,0.00001087193,0.9988223,0.000001659494,0.000008892891,0.00001934723,0.0001766098,0.0001811329,0.0003719823,0.000003869317,0.0003994547,0.000002474379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989805,0.0001025907,0.00009815997,0.00001826113,4.87793e-7,0.000004111042,0.0003228653,0.000006294817,0.0004668823],"genre_scores_gemma":[0.9983192,0.0001286819,0.0003262299,0.00002011189,0.000002432452,0.00001197527,0.0006052169,0.000002561533,0.0005835769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5474268,"threshold_uncertainty_score":0.899878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327922185725094,"score_gpt":0.2278065601673739,"score_spread":0.2145273383101229,"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."}}