{"id":"W1639050392","doi":"10.1016/j.scitotenv.2015.08.113","title":"The use of biomarkers as integrative tools for transitional water bodies monitoring in the Water Framework Directive context — A holistic approach in Minho river transitional waters","year":2015,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Standards and Technology; National Research Council Canada; Federación Española de Enfermedades Raras","keywords":"Water Framework Directive; Marine Strategy Framework Directive; Environmental science; Context (archaeology); Water quality; Environmental monitoring; Estuary; Environmental resource management; Platichthys; Environmental planning; Water resource management; Ecology; Fishery; Biology; Flounder; Ecosystem; Environmental engineering; Fish <Actinopterygii>","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":[0.002490628,0.0005947485,0.0008060564,0.002726207,0.00119808,0.004286738,0.0006277921,0.001158474,0.0003172135],"category_scores_gemma":[0.001229029,0.000247727,0.0004553801,0.002527219,0.001751457,0.001681861,0.002410172,0.0006887892,0.00003933291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444026,"about_ca_system_score_gemma":0.003379237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008422048,"about_ca_topic_score_gemma":0.02397469,"domain_scores_codex":[0.9988644,0.0005248975,0.00006674977,0.0001687943,0.0002540006,0.0001211679],"domain_scores_gemma":[0.9992509,0.0001591491,0.0002489341,0.00004741304,0.0002232887,0.00007031371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006705056,0.0004332104,0.3025657,0.002406439,0.0006590769,0.001743876,0.01318387,0.006889948,0.1756045,0.0231217,0.001359214,0.4713619],"study_design_scores_gemma":[0.00003791234,0.002854545,0.5780143,0.003179216,0.001802026,0.003669526,0.08809495,0.02361956,0.1316699,0.04652901,0.1201139,0.0004150287],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9227134,0.02912895,0.03205445,0.005687073,0.0001526756,0.0001999246,0.0006021458,0.00006065097,0.009400725],"genre_scores_gemma":[0.9642955,0.008161052,0.02551266,0.0006241829,0.00004989852,0.00009338288,0.0001131671,0.00001189683,0.001138414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008422048,"threshold_uncertainty_score":0.01674604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.059350390737531,"score_gpt":0.2612544655361514,"score_spread":0.2019040747986204,"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."}}