{"id":"W2943999767","doi":"10.1039/c9em00112c","title":"Surface water and groundwater analysis using aryl hydrocarbon and endocrine receptor biological assays and liquid chromatography-high resolution mass spectrometry in Susquehanna County, PA","year":2019,"lang":"en","type":"article","venue":"Environmental Science Processes & Impacts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's Health Research Institute","funders":"David R. Atkinson Center for a Sustainable Future , Cornell University; University of Missouri; National Institute of Environmental Health Sciences; Claneil Foundation","keywords":"Contamination; Aryl hydrocarbon receptor; Groundwater; Mass spectrometry; Environmental chemistry; Resolution (logic); Chromatography; Chemistry; Surface water; High resolution; Gas chromatography; Biological fluids; Environmental science; Environmental engineering; Geology; Biology; Ecology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005435109,0.0003764511,0.0003851503,0.00008855163,0.0002757912,0.0001385037,0.0002511787,0.0001166606,0.0005134278],"category_scores_gemma":[0.00001788593,0.0002786707,0.00004266879,0.0009368403,0.00193902,0.00118078,0.0006843414,0.0002097108,0.00002666963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005792038,"about_ca_system_score_gemma":0.00001188249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009634143,"about_ca_topic_score_gemma":0.00005705459,"domain_scores_codex":[0.9970744,0.0000494534,0.0003298395,0.001032206,0.0006096218,0.0009045295],"domain_scores_gemma":[0.9992381,0.00004223111,0.0001138321,0.0002541438,0.000002015407,0.0003497154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005125714,0.00007813943,0.5411871,0.00001425383,0.00001628067,0.000005916158,0.0002257501,0.004817862,0.4535399,0.000002854474,5.608181e-7,0.00006013257],"study_design_scores_gemma":[0.0008228181,0.0009120678,0.9252228,0.00003434469,0.0001017714,0.00009091233,0.001233274,0.02290017,0.04757392,0.0002585886,0.00006928194,0.0007800173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985475,0.0004117223,0.0003934564,0.00008594971,0.00004551995,0.000357711,0.00001034537,0.00002754828,0.0001202438],"genre_scores_gemma":[0.992873,0.001586097,0.005338087,0.00009900388,0.00001328892,0.000006083372,0.00002199576,0.0000212349,0.00004116961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.405966,"threshold_uncertainty_score":0.9999666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006561986990059119,"score_gpt":0.2090213056456395,"score_spread":0.2024593186555804,"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."}}