{"id":"W3024643324","doi":"10.13227/j.hjkx.201708145","title":"[Spatio-Temporal Patterns and Environmental Risk of Endocrine Disrupting Chemicals in the Liuxi River].","year":2018,"lang":"en","type":"article","venue":"PubMed","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Nonylphenol; Environmental chemistry; Tributary; Bisphenol A; Chemistry; Triclosan; Pollutant; Estrone; Dry season; Wet season; Water quality; Hormone; Ecology; Biology","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":[0.0002163053,0.0001192897,0.00008185911,0.0007591199,0.0002394064,0.0002824094,0.0001443076,0.0002304911,0.001669827],"category_scores_gemma":[0.0003570534,0.0001078551,0.0001668765,0.001078111,0.0001402333,0.0001903823,0.0001905219,0.0001180157,0.000171576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003919618,"about_ca_system_score_gemma":0.0004490589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02675124,"about_ca_topic_score_gemma":0.04007387,"domain_scores_codex":[0.999936,0.000009095159,0.000007177319,0.00002051971,0.00001445112,0.00001284925],"domain_scores_gemma":[0.999799,0.00002744692,0.000104325,0.000007623536,0.0000449229,0.00001679907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009497002,0.0000200909,0.9810702,0.00009511033,0.00008089362,0.000353697,0.0002451974,0.0007985808,0.004400194,0.0001853008,0.001351012,0.01130478],"study_design_scores_gemma":[0.000002385361,0.00002939255,0.9976674,0.000009430111,0.00002232121,0.0001048569,0.0001691934,0.0004565887,0.0003044952,0.00006268568,0.001167299,0.000003913583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994414,0.0005090843,0.0005356892,0.0001818597,0.00001000744,0.00002420046,0.002938998,0.00002713243,0.001358993],"genre_scores_gemma":[0.9955748,0.0003416576,0.0005035773,0.00004861979,0.000007630952,0.00002884209,0.001910403,0.000002654772,0.001581818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02675124,"threshold_uncertainty_score":0.05319107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009401302551661897,"score_gpt":0.209589989007932,"score_spread":0.2001886864562701,"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."}}