{"id":"W1970864123","doi":"10.1371/journal.pone.0104748","title":"Evaluation of the Ecotoxicity of Sediments from Yangtze River Estuary and Contribution of Priority PAHs to Ah Receptor-Mediated Activities","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; University of Waterloo; Bundesministerium für Bildung und Forschung; National Natural Science Foundation of China","keywords":"Estuary; Environmental chemistry; Ecotoxicity; Pollutant; Bioassay; Environmental science; Sediment; Water pollution; Pollution; Chemistry; Toxicity; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000170334,0.0006424075,0.000200289,0.0006980657,0.0003198021,0.0003852766,0.0001132243,0.0002416504,0.0005223264],"category_scores_gemma":[0.00012772,0.0001509092,0.0002415953,0.0004338744,0.0001610811,0.0001925445,0.0002674262,0.0002043564,0.00009110892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001990318,"about_ca_system_score_gemma":0.0004694079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002725187,"about_ca_topic_score_gemma":0.005873355,"domain_scores_codex":[0.9998833,0.00001402585,0.0000132155,0.0000276907,0.00004042097,0.00002132818],"domain_scores_gemma":[0.99988,0.00001622682,0.00003538175,0.000006258087,0.00004710471,0.00001509968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000168436,0.00003296859,0.04390959,0.0002518959,0.00006276968,0.0001952997,0.000126085,0.0003049784,0.9481422,0.00004472687,0.00004296246,0.006718129],"study_design_scores_gemma":[0.000023591,0.001149785,0.4401571,0.00002598968,0.0002029442,0.0005217763,0.0005680075,0.0006679389,0.5531469,0.0001368097,0.003371887,0.00002730186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977608,0.0006825375,0.0007573371,0.00002760408,0.000008800265,0.00002048915,0.000399085,0.00001042719,0.0003329178],"genre_scores_gemma":[0.9948791,0.001330535,0.001404805,0.00005887176,0.00001211922,0.00003615288,0.0009890506,0.000005566012,0.001283855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002725187,"threshold_uncertainty_score":0.005418658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115067427539285,"score_gpt":0.2278448435188109,"score_spread":0.206694169243418,"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."}}