{"id":"W2008186849","doi":"10.1016/j.ecoenv.2004.09.003","title":"Effects of industrial metals on wild fish populations along a metal contamination gradient","year":2004,"lang":"en","type":"article","venue":"Ecotoxicology and Environmental Safety","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":238,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Laurentian University; University of Guelph; Nipissing University","funders":"","keywords":"Contamination; Environmental chemistry; Fish <Actinopterygii>; Metal; Environmental science; Heavy metals; Fishery; Ecology; Biology; Chemistry","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":[0.0001669558,0.0001877962,0.0001873506,0.0005747876,0.000510281,0.0004013743,0.0003102382,0.0003079641,0.001090426],"category_scores_gemma":[0.0005834394,0.0001896,0.0001922359,0.0002805917,0.0006154513,0.0002450205,0.0004477049,0.0002745552,0.0001962887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005820229,"about_ca_system_score_gemma":0.0002374543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01503168,"about_ca_topic_score_gemma":0.03484485,"domain_scores_codex":[0.9998235,0.0000420113,0.000009788709,0.00006004237,0.00002294373,0.00004185305],"domain_scores_gemma":[0.9993899,0.00009476679,0.0001876341,0.00004901988,0.0001632484,0.0001154609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003861775,0.000330487,0.8776612,0.00002472654,0.00009794313,0.0002245191,0.0006796319,0.0005421359,0.1106617,0.0001125894,0.0001622661,0.005641024],"study_design_scores_gemma":[0.00001259009,0.0006415882,0.9925327,0.000002360917,0.00002649919,0.0001170237,0.0006249713,0.0004098979,0.005420299,0.00005836228,0.0001474537,0.000006410872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998167,0.000007535931,0.00002220758,0.000005099912,5.12808e-7,9.112396e-7,0.00003378191,0.00000107975,0.0001121236],"genre_scores_gemma":[0.9993344,0.00001656014,0.00007610056,0.000007778729,9.318852e-7,0.000002879398,0.00008581507,0.000001354196,0.0004741073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01503168,"threshold_uncertainty_score":0.02988839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357547901195436,"score_gpt":0.217771334208823,"score_spread":0.2041958551968687,"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."}}