{"id":"W4387931792","doi":"10.1002/etc.5776","title":"Contaminants of Concern and Spatiotemporal Metabolomic Changes in Quagga Mussels (<i>Dreissena bugensis rostriformis</i>) from the Milwaukee Estuary (Wisconsin, USA)","year":2023,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"AXYS Technologies (Canada)","funders":"National Centers for Coastal Ocean Science; National Oceanic and Atmospheric Administration; National Institute of Standards and Technology","keywords":"Dreissena; Biomonitoring; Metabolome; Metabolomics; Mussel; Environmental chemistry; Estuary; Biology; Contamination; Zebra mussel; Mytilus; Bivalvia; Ecology; Mollusca; Chemistry; Bioinformatics","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":[0.00007700433,0.0002929706,0.0001901335,0.0003743396,0.0003799103,0.0004116262,0.00009410129,0.0002592628,0.0002961745],"category_scores_gemma":[0.0001029417,0.0001755912,0.0002159247,0.0003215346,0.0001672276,0.0001906613,0.0002705648,0.0002603661,0.00007054832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003058057,"about_ca_system_score_gemma":0.000250508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01732435,"about_ca_topic_score_gemma":0.05165641,"domain_scores_codex":[0.9999106,0.000005460853,0.000007578182,0.00004147342,0.00001980273,0.00001509774],"domain_scores_gemma":[0.9998857,0.000005159469,0.00005081701,0.000005336372,0.0000371173,0.00001600187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002013943,0.00003246729,0.1337959,0.00004413232,0.00005193774,0.0001038565,0.0003466455,0.0001106521,0.8629344,0.00001764668,0.00005815631,0.002302752],"study_design_scores_gemma":[0.000001568614,0.0001465144,0.9785419,0.000003170315,0.00003187475,0.00009967697,0.0003338698,0.0001399319,0.02026631,0.000008745642,0.0004189655,0.000007443128],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993939,0.00008413147,0.00008201697,0.00001043513,0.00000146756,0.000003589991,0.0003102112,0.000003388284,0.0001108936],"genre_scores_gemma":[0.9977974,0.0001461279,0.0004577788,0.00004476636,0.000001899594,0.00001598116,0.0008370587,0.000003231442,0.0006958765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01732435,"threshold_uncertainty_score":0.03444701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01375865151782657,"score_gpt":0.2289642641049796,"score_spread":0.215205612587153,"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."}}