{"id":"W1974108038","doi":"10.1016/j.envpol.2009.09.009","title":"Bioaccumulation and depuration of metals in blue crabs (Callinectes sapidus Rathbun) from a contaminated and clean estuary","year":2009,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Callinectes; Hepatopancreas; Bioaccumulation; Environmental chemistry; Bioindicator; Estuary; Contamination; Decapoda; Biology; Crustacean; Fishery; Chemistry; Ecology","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":[0.0001343014,0.0001259169,0.0001646359,0.00004847403,0.00007440462,0.00001208599,0.00003459168,0.00006439996,0.0001699703],"category_scores_gemma":[0.00002624667,0.0001199386,0.00002114981,0.00008837902,0.0001863041,0.0003661303,0.00004290149,0.00006194286,0.0000168118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009083235,"about_ca_system_score_gemma":0.000001861509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004001897,"about_ca_topic_score_gemma":0.0001724841,"domain_scores_codex":[0.9991539,0.00007032665,0.0002626963,0.0002230352,0.0001602535,0.0001298615],"domain_scores_gemma":[0.9997071,0.00003827987,0.0001092877,0.00008755648,0.000001030216,0.00005673882],"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":[0.00008305058,0.0001700008,0.1892998,0.00000361914,0.00001839366,0.000003452394,0.001834007,0.0005103224,0.7042381,0.00005588847,0.00006298353,0.1037204],"study_design_scores_gemma":[0.0006247605,0.0001356843,0.9605412,0.00001266623,0.00002179197,0.000002847697,0.0006185482,0.002074474,0.03526681,0.0005384995,0.0000449103,0.0001178455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998466,0.0004209829,0.0004251546,0.0002403699,0.00002403577,0.0002325256,0.00003159307,0.00001380946,0.0001455247],"genre_scores_gemma":[0.9990086,0.0003269133,0.0003933957,0.0001487805,0.00001476463,0.000004255199,0.00005999995,0.000005322336,0.00003798441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7712414,"threshold_uncertainty_score":0.4890955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110332148770487,"score_gpt":0.2324398784901132,"score_spread":0.2213365570024083,"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."}}