{"id":"W3210828953","doi":"10.1016/j.chemosphere.2021.132649","title":"Response of biomarkers to metals, hydrocarbons and organochlorine pesticides contamination in crabs (Callinectes ornatus and C. bocourti) from two tropical estuaries (São José and São Marcos bays) of the Maranhão State (northeastern Brazil)","year":2021,"lang":"en","type":"article","venue":"Chemosphere","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Instituto Nacional de Ciência e Tecnologia de Toxicologia Aquática; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; International Development Research Centre","keywords":"Bay; Callinectes; Estuary; Hepatopancreas; Decapoda; Wet season; Dry season; Mussel; Shellfish; Fishery; Biology; Crustacean; Ecology; Aquatic animal; Oceanography; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001131434,0.0002685387,0.0002047877,0.000543443,0.0003186104,0.0004147943,0.0001625308,0.0003115474,0.0006064157],"category_scores_gemma":[0.0004009549,0.0002082878,0.000182349,0.0004220086,0.000317343,0.000155341,0.0002919596,0.0001752305,0.0001231794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003517121,"about_ca_system_score_gemma":0.0003029006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02206728,"about_ca_topic_score_gemma":0.04342282,"domain_scores_codex":[0.9999034,0.00001317236,0.000009591874,0.00003146041,0.00002259388,0.00001969957],"domain_scores_gemma":[0.9997247,0.00002732266,0.0001086477,0.00001283689,0.00008440076,0.00004208798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004215689,0.00008930824,0.6799659,0.00008349059,0.0001004698,0.0002157278,0.001508195,0.0003057789,0.3114184,0.0000722515,0.00007449539,0.005744477],"study_design_scores_gemma":[0.000004860834,0.0002253524,0.9893401,0.000006298071,0.00003078947,0.0001836887,0.0007871509,0.0003179937,0.008734942,0.00002723294,0.0003363183,0.000005250074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999632,0.00006713822,0.00004511476,0.000008868988,9.798755e-7,0.000002955217,0.00009823477,0.000001125339,0.000143604],"genre_scores_gemma":[0.9992356,0.00007181734,0.0001270718,0.000019708,7.767624e-7,0.000008842294,0.0001603899,8.96944e-7,0.0003748242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02206728,"threshold_uncertainty_score":0.04387766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005417094862849568,"score_gpt":0.219908203948786,"score_spread":0.2144911090859364,"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."}}