{"id":"W2914793148","doi":"10.1016/j.bbagen.2019.01.020","title":"A multidimensional concept for mercury neuronal and sensory toxicity in fish - From toxicokinetics and biochemistry to morphometry and behavior","year":2019,"lang":"en","type":"review","venue":"Biochimica et Biophysica Acta (BBA) - General Subjects","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"European Regional Development Fund; Centro de Estudos Ambientais e Marinhos, Universidade de Aveiro; Fundação para a Ciência e a Tecnologia; Ministerio de Economía y Competitividad","keywords":"Toxicity; Neurotoxicity; Sensory system; Neuroscience; Biology; Toxicokinetics; Predatory fish; Methylmercury; Bioaccumulation; Physiology; Zoology; Fish <Actinopterygii>; Ecology; Medicine; Internal medicine","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":[0.0004721194,0.0009268324,0.001243672,0.002297711,0.0002078837,0.0009830508,0.0008072728,0.0008016633,0.001673211],"category_scores_gemma":[0.0004252955,0.0002310595,0.0006004935,0.002686867,0.001311582,0.001511888,0.001011573,0.001458927,0.0007593228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008992908,"about_ca_system_score_gemma":0.001160003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001570309,"about_ca_topic_score_gemma":0.002222465,"domain_scores_codex":[0.999851,0.00002243133,0.00002604757,0.00003286779,0.00005873891,0.000008782611],"domain_scores_gemma":[0.9998467,0.00006786016,0.0000230738,0.00001051688,0.00004285441,0.000008906454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003619391,0.00004316635,0.0002990286,0.01729153,0.0001609586,0.0001465046,0.0001339711,0.0009376476,0.006849209,0.03599894,0.01086057,0.9272423],"study_design_scores_gemma":[0.000015116,0.0001356277,0.002884215,0.003981941,0.0002601543,0.001456126,0.0002345948,0.0005005967,0.003522316,0.02830337,0.9586321,0.00007374449],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002101273,0.9960057,0.002099641,0.0003145909,0.0002450263,0.000005385582,0.0000291194,0.00001146119,0.001078948],"genre_scores_gemma":[0.002357703,0.9941615,0.001947735,0.0002298378,0.0001851703,0.00001654138,0.00004173711,0.000003136861,0.001056454],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002297711,"threshold_uncertainty_score":0.006524801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03730282827263953,"score_gpt":0.3077307849569066,"score_spread":0.2704279566842671,"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."}}