{"id":"W3209501728","doi":"10.1039/d1en00738f","title":"The “Trojan Horse” effect of nanoplastics: potentiation of polycyclic aromatic hydrocarbon uptake in rainbow trout and the mitigating effects of natural organic matter","year":2021,"lang":"en","type":"article","venue":"Environmental Science Nano","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Environment and Climate Change Canada","keywords":"Rainbow trout; Trojan horse; Polycyclic aromatic hydrocarbon; Environmental chemistry; Environmental science; Long-term potentiation; Chemistry; Fish <Actinopterygii>; Fishery; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001156234,0.0002680043,0.0001677653,0.0001247228,0.0001644877,0.000225168,0.0001800151,0.0005831918,0.001158531],"category_scores_gemma":[0.000124282,0.0001327659,0.0003890863,0.00005859992,0.0003231119,0.0002970514,0.0002254946,0.0004793603,0.0002000652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003731033,"about_ca_system_score_gemma":0.0004045655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00246553,"about_ca_topic_score_gemma":0.004460689,"domain_scores_codex":[0.9999399,0.00000850307,0.000004250094,0.00001607246,0.00001291079,0.00001828507],"domain_scores_gemma":[0.9999135,0.00001416552,0.00001700497,0.00001037222,0.0000145284,0.00003036927],"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":[0.000377512,0.00004363457,0.00089308,0.00004234931,0.00001529213,0.00009255886,0.00002039517,0.0001106699,0.996273,0.0001048111,0.00007813014,0.001948496],"study_design_scores_gemma":[0.00001937445,0.001860082,0.01319146,0.000008232922,0.00005636628,0.0002558348,0.00006086347,0.0008319856,0.9824738,0.0001925438,0.001037493,0.00001202457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997928,0.0004786519,0.0005279612,0.000181428,0.00004589012,0.000006955595,0.00010116,0.00002991555,0.0006999671],"genre_scores_gemma":[0.9962021,0.0004850673,0.0005283296,0.0001259669,0.00001176755,0.000007381989,0.00008947524,0.000007961899,0.00254205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00246553,"threshold_uncertainty_score":0.004902363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001054417556075701,"score_gpt":0.1609931895869223,"score_spread":0.1599387720308466,"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."}}