{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001280673,0.0006520395,0.001181756,0.0001097912,0.0001273745,0.00007673672,0.0001840633,0.0003272095,0.0000507685],"category_scores_gemma":[0.00009586348,0.0005792464,0.0001680338,0.0002753085,0.0003721025,0.0001180803,0.0006331767,0.0003134341,0.00001316936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049998,"about_ca_system_score_gemma":0.00005949183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001468827,"about_ca_topic_score_gemma":0.0000338047,"domain_scores_codex":[0.9975054,0.0001285858,0.0005024079,0.001074582,0.0003204907,0.0004685037],"domain_scores_gemma":[0.998697,0.0003641057,0.000251352,0.0003364209,0.00001759768,0.000333554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000720271,0.0003460103,0.0001609113,0.001380038,0.0001556192,0.00001239662,0.0005840764,0.000002559127,0.9087869,0.00001134294,0.003556974,0.08493115],"study_design_scores_gemma":[0.004894332,0.001451192,0.0980968,0.00417898,0.003574396,0.0001348804,0.0002786866,0.0002522421,0.7223293,0.00008369031,0.1586332,0.006092255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9077907,0.08863499,0.000003249361,0.000202174,0.0001639629,0.001198056,0.001953478,0.00002488223,0.00002856513],"genre_scores_gemma":[0.1783259,0.8130522,0.004407479,0.00179202,0.0004126405,0.0003417426,0.0009014703,0.0001391139,0.0006274783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7294648,"threshold_uncertainty_score":0.9996659,"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."}}