{"id":"W2009692189","doi":"10.1139/f99-199","title":"Effects of trophic status and wetland morphology, hydroperiod, and water chemistry on mercury concentrations in fish","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; U.S. Fish and Wildlife Service","keywords":"Esox; Trophic level; Wetland; Pike; Bioaccumulation; Environmental chemistry; Dissolved organic carbon; Predatory fish; Environmental science; Ecology; Benthic zone; Mercury (programming language); Chemistry; Fishery; Biology; Fish <Actinopterygii>; Predation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001637116,0.00006582359,0.0001380831,0.00002995418,0.000163554,0.00004875725,0.00005264526,0.00002407174,0.000594196],"category_scores_gemma":[0.00005672982,0.00004308351,0.00001080883,0.00008224532,0.001297375,0.0001782993,0.000007588002,0.00005872351,0.00000107897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001904729,"about_ca_system_score_gemma":0.00005116418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003141232,"about_ca_topic_score_gemma":0.004794832,"domain_scores_codex":[0.9994336,0.00002699804,0.0001658843,0.00009171113,0.00009496617,0.0001868514],"domain_scores_gemma":[0.99964,0.00006488736,0.00004551293,0.00002993716,0.000003486739,0.0002161514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001914165,0.00001551136,0.9443799,0.00003362963,0.00001371314,0.00004464125,0.007520073,0.00004369153,0.02916205,0.00001190305,0.0007749535,0.01798075],"study_design_scores_gemma":[0.00105492,0.0006815436,0.9672067,0.00014419,0.00003277095,0.0001372281,0.002484845,0.0002776902,0.01987905,0.0007318094,0.007148729,0.0002205311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969695,0.0003306283,6.228365e-7,0.001515215,0.00002976779,0.00004871958,0.000002982202,6.539106e-7,0.0011019],"genre_scores_gemma":[0.9990409,0.0005641691,0.00004673895,0.0002284329,0.000009519475,0.000001017141,3.614596e-7,0.000001712428,0.0001071687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02282675,"threshold_uncertainty_score":0.6506029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008720425762464458,"score_gpt":0.2070349053616968,"score_spread":0.1983144795992324,"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."}}