{"id":"W4386917263","doi":"10.1021/acsomega.3c04065","title":"Impacts of Proximity to Primary Source Areas on Concentrations of POPs at Global Sampling Stations Estimated from Land Cover Information","year":2023,"lang":"en","type":"article","venue":"ACS Omega","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Northern Contaminants Program; United Nations Environment Programme; Government of Canada","keywords":"Environmental science; Endosulfan; Geospatial analysis; Agricultural land; Land cover; Sampling (signal processing); Land use; Geography; Human settlement; Environmental resource management; Physical geography; Agriculture; Environmental protection; Cartography; Pesticide; Ecology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001149776,0.00009472947,0.0001349308,0.0000299034,0.00007636294,0.00001874762,0.0001369454,0.00004860223,0.0001566446],"category_scores_gemma":[0.0003744398,0.00008784553,0.00002408198,0.0005818945,0.00006757715,0.0004863295,0.0001213839,0.00004708423,0.0006221912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004571441,"about_ca_system_score_gemma":0.00005310216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008405765,"about_ca_topic_score_gemma":0.0001948754,"domain_scores_codex":[0.9990382,0.00002287776,0.0002700583,0.0001139185,0.0003433336,0.0002116547],"domain_scores_gemma":[0.9993814,0.0001131952,0.0001527995,0.0002186144,0.000006184617,0.0001278401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002278641,0.0001619056,0.7898507,0.00002266716,0.00007137746,0.000001921376,0.003908143,0.05117519,0.1176114,0.00008559152,0.003770996,0.03311218],"study_design_scores_gemma":[0.000366529,0.00006976984,0.9855642,0.00002751062,0.0000138646,0.000001386671,0.00004706941,0.0009180057,0.01234568,0.0002306718,0.0003267985,0.00008856992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947078,0.000003807612,0.000857375,0.0002262503,0.000053997,0.0002617663,0.002471141,0.00006533993,0.001352575],"genre_scores_gemma":[0.9989313,0.000005350284,0.000660933,0.0002391088,0.000007835812,0.000002850215,0.000109758,0.000006235998,0.00003658131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1957134,"threshold_uncertainty_score":0.7997217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956536563891632,"score_gpt":0.2703028189008331,"score_spread":0.2507374532619168,"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."}}