{"id":"W2145448292","doi":"10.1016/j.envres.2009.02.011","title":"Influence of ecological factors and of land use on mercury levels in fish in the Tapajós River basin, Amazon","year":2009,"lang":"en","type":"article","venue":"Environmental Research","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Biodome; Université du Québec à Montréal","funders":"International Development Research Centre","keywords":"Amazon rainforest; Riparian zone; Ecology; Trophic level; Freshwater fish; Omnivore; Demersal fish; Environmental science; Lake ecosystem; Biology; Fishery; Habitat; Fishing; Predation; Fish <Actinopterygii>","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":[0.0007231064,0.00009421803,0.0001566496,0.00007851562,0.00005984116,0.000009421684,0.0001779177,0.00005659482,0.0002747252],"category_scores_gemma":[0.000210023,0.00006050806,0.00002306503,0.0001996355,0.000776013,0.0001908522,0.0001272365,0.0002493789,0.00002576128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001080065,"about_ca_system_score_gemma":0.000004193966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006368106,"about_ca_topic_score_gemma":0.0002814925,"domain_scores_codex":[0.9985147,0.0002395424,0.000207785,0.0001942464,0.0005896558,0.0002540923],"domain_scores_gemma":[0.9991727,0.0005725213,0.00004224611,0.0001608308,0.000001817563,0.00004992452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002666959,0.0002934461,0.9821099,0.000002486787,0.000002022936,0.000006303299,0.002166114,0.0002811851,0.01303044,0.00001500231,0.0001048838,0.001961528],"study_design_scores_gemma":[0.0002829298,0.0003731821,0.9918981,0.00001684904,0.00000149193,9.245606e-7,0.0007172638,0.0000105201,0.006074315,0.0003463429,0.0002194809,0.00005864858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987438,0.00001461765,2.78951e-7,0.0002745933,0.000004330078,0.0002624518,0.00003741903,0.000001424804,0.0006611169],"genre_scores_gemma":[0.999498,0.0002112763,0.00002144455,0.0001816077,0.000003161684,0.000006222705,0.000002710183,0.000003049917,0.0000725107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009788129,"threshold_uncertainty_score":0.3008048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07746098264389867,"score_gpt":0.3378064780622492,"score_spread":0.2603454954183505,"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."}}