{"id":"W2166861585","doi":"10.1039/c2em30024a","title":"Do national advisories serve local consumers: an assessment of mercury in economically important North Carolina fish","year":2012,"lang":"en","type":"article","venue":"Journal of Environmental Monitoring","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; North Carolina Sea Grant, North Carolina State University; North Carolina State University","keywords":"Bay; Fishery; Mercury (programming language); Toxicant; Diversity of fish; Environmental science; Toxicology; Fish <Actinopterygii>; Environmental protection; Geography; Biology; Chemistry; Toxicity; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0006287711,0.000156835,0.0002897645,0.00007528378,0.00006703618,0.00001298648,0.0001668953,0.00005276299,0.000407485],"category_scores_gemma":[0.00002228573,0.0001437042,0.0000929185,0.00007550261,0.0002281176,0.001037967,0.0001111868,0.0002204293,0.000008482019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006994903,"about_ca_system_score_gemma":0.00002733112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004630423,"about_ca_topic_score_gemma":0.00003050547,"domain_scores_codex":[0.9982213,0.00007084645,0.0007652228,0.0001275314,0.0005406546,0.000274423],"domain_scores_gemma":[0.9990749,0.00006921415,0.0005287259,0.0001052279,0.000007924844,0.0002139938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002207261,0.0002752565,0.9890256,0.000006368409,0.00003907649,0.000004977986,0.0007769818,0.0009528582,0.006623507,0.000009591017,0.00003231304,0.00223143],"study_design_scores_gemma":[0.0004545183,0.0001464546,0.9937313,0.00002491559,0.00002404427,0.00003332513,0.001514969,0.00005632138,0.003393232,0.00004175958,0.0004414599,0.0001377587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987286,0.0002380378,0.00003630518,0.00004375175,0.0004108788,0.00008456705,0.00003105094,0.000003077686,0.0004237734],"genre_scores_gemma":[0.9978628,0.0003381592,0.001546831,0.00002955818,0.0001903546,0.000004074914,0.000003776673,0.00001288279,0.00001161247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004705675,"threshold_uncertainty_score":0.5860087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02279697465530083,"score_gpt":0.3081531420896325,"score_spread":0.2853561674343317,"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."}}