{"id":"W2792753144","doi":"10.1016/j.envpol.2018.02.018","title":"Effects of water warming and acidification on bioconcentration, metabolization and depuration of pharmaceuticals and endocrine disrupting compounds in marine mussels (Mytilus galloprovincialis)","year":2018,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":97,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Seventh Framework Programme; European Commission; Public Health Agency of Canada","keywords":"Mytilus; Bioconcentration; Bioaccumulation; Environmental chemistry; Chemistry; Endocrine disruptor; Fishery; Endocrine system; Biology; Hormone","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":[0.0001025239,0.0002521711,0.0001858571,0.0001464918,0.0002053506,0.000296059,0.0001249172,0.0003241372,0.00155019],"category_scores_gemma":[0.000209542,0.0001696146,0.000269555,0.000146357,0.000290916,0.0003876638,0.0003180696,0.0002679747,0.0001438395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004364869,"about_ca_system_score_gemma":0.0001891364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006134556,"about_ca_topic_score_gemma":0.008446238,"domain_scores_codex":[0.9999076,0.00001201647,0.000006686822,0.00003207768,0.00001002974,0.00003156759],"domain_scores_gemma":[0.9998775,0.00003183438,0.00003028993,0.000009701957,0.00002308338,0.00002761794],"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":[0.009477627,0.0002448276,0.06221186,0.00009655375,0.0001180295,0.000205683,0.000274666,0.001201866,0.9162903,0.00008088839,0.0002139397,0.009583632],"study_design_scores_gemma":[0.00006397795,0.002624435,0.6800735,0.000006898425,0.0001139333,0.0001479841,0.0005169836,0.001293803,0.313733,0.0001440461,0.001250797,0.00003065986],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995171,0.0000939167,0.00004368178,0.00001415107,0.000004191977,0.000002294049,0.0001576703,0.000002904789,0.0001641059],"genre_scores_gemma":[0.9987657,0.00009228882,0.00009259738,0.00003339631,0.000002469287,0.000006129475,0.0001906746,0.0000037812,0.0008129158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006134556,"threshold_uncertainty_score":0.01219773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006530930099563651,"score_gpt":0.22143439095607,"score_spread":0.2149034608565064,"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."}}