{"id":"W2745654598","doi":"10.1021/acs.est.7b02912","title":"Selective Uptake and Bioaccumulation of Antidepressants in Fish from Effluent-Impacted Niagara River","year":2017,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":232,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Thailand Research Fund","keywords":"Bioaccumulation; Environmental impact of pharmaceuticals and personal care products; Effluent; Environmental chemistry; Pollutant; Environmental science; Bioconcentration; Citalopram; Chemistry; Ecology; Biology; Antidepressant; Environmental engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002563751,0.0002061319,0.0002487425,0.0001760734,0.0004075858,0.00004354583,0.0007490691,0.0001519516,0.0004854543],"category_scores_gemma":[0.0001160775,0.0001890941,0.00003237267,0.0003000651,0.007641884,0.0009324483,0.001153199,0.0002341683,0.0001041597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002844301,"about_ca_system_score_gemma":0.000007919433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004767043,"about_ca_topic_score_gemma":0.00008662853,"domain_scores_codex":[0.9980904,0.00002459949,0.0002897735,0.0006475322,0.0004245166,0.0005231504],"domain_scores_gemma":[0.9990358,0.0000286549,0.0002295741,0.0005310327,0.000001356195,0.0001736073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001267693,0.0001184377,0.559818,0.000001050333,0.000003493422,0.000006655103,0.00009538332,0.0000506673,0.4269807,0.00001139374,0.000009514498,0.01289211],"study_design_scores_gemma":[0.0005310757,0.0000673827,0.7376533,0.00001892427,0.000008348877,0.000005277686,0.00006034039,0.000578204,0.2598113,0.0009016989,0.0002129168,0.0001512325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997547,0.00003493491,0.00003450541,0.0004027805,0.00006273611,0.0002609409,0.0000527706,0.00002910657,0.001575244],"genre_scores_gemma":[0.9989087,0.0001502107,0.0007531347,0.0001154153,0.000008719434,0.000003694408,0.00000480572,0.00001134524,0.00004398225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1778353,"threshold_uncertainty_score":0.9950588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720914461688523,"score_gpt":0.282551190230156,"score_spread":0.2653420456132708,"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."}}