{"id":"W2049690839","doi":"10.1016/j.scitotenv.2012.11.095","title":"Mercury, arsenic and selenium concentrations in water and fish from sub-Saharan semi-arid freshwater reservoirs (Burkina Faso)","year":2012,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mercury (programming language); Environmental chemistry; Arsenic; Metalloid; Selenium; Ecotoxicology; Methylmercury; Environmental science; Freshwater fish; Chemistry; Fish <Actinopterygii>; Bioaccumulation; Metal; Fishery; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007021313,0.0001382417,0.0001374229,0.00002192194,0.0003968305,0.00003436296,0.0003038284,0.00003240621,0.0005035429],"category_scores_gemma":[0.00002494451,0.00007005024,0.000032211,0.0001193893,0.002471911,0.0004579561,0.0007547779,0.0001248714,0.00004852766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001020651,"about_ca_system_score_gemma":0.000006753927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004618587,"about_ca_topic_score_gemma":0.00007393605,"domain_scores_codex":[0.9985553,0.00008698928,0.0002144971,0.0002416081,0.0004682812,0.000433307],"domain_scores_gemma":[0.9994098,0.00005513171,0.00006565547,0.0003485567,0.000002433058,0.0001184067],"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":[0.00001459122,0.00006702464,0.02832439,0.000003434854,0.00001239397,2.869551e-7,0.007997776,0.001800343,0.9605025,0.0000428683,0.0008398677,0.0003945389],"study_design_scores_gemma":[0.0003056304,0.00003202053,0.5110729,0.00001661801,0.00003250399,0.000009033559,0.0007097284,0.0006823484,0.4843777,0.0005311798,0.002056471,0.0001738698],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957303,0.0002283859,0.000005820646,0.002907939,0.0001307789,0.0002782517,0.00002638874,0.000005775911,0.0006863054],"genre_scores_gemma":[0.9991369,0.0003201486,0.00007917569,0.0001022047,0.00002561286,0.00001513721,0.000002796924,0.000006263328,0.0003117694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4827485,"threshold_uncertainty_score":0.9107858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366747252427609,"score_gpt":0.219157892036025,"score_spread":0.2054904195117489,"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."}}