{"id":"W1977333564","doi":"10.1016/j.scitotenv.2014.09.031","title":"Heavy metals in sediments and soft tissues of the Antarctic clam Laternula elliptica: More evidence as a ? possible biomonitor of coastal marine pollution at high latitudes?","year":2014,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Rimouski","funders":"Universidad de Buenos Aires; Agencia Nacional de Promoción Científica y Tecnológica; Fonds Québécois de la Recherche sur la Nature et les Technologies; Instituto Antártico Argentino; European Commission; Directorate-General for Research and Innovation; Université du Québec à Rimouski","keywords":"Biomonitoring; Environmental chemistry; Pollution; Sediment; Environmental science; Terrigenous sediment; Cadmium; Enrichment factor; Oceanography; Heavy metals; Geology; Chemistry; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002027302,0.0002265653,0.0003205039,0.00004748264,0.000253687,0.00001582939,0.001099848,0.00005814225,0.0004584109],"category_scores_gemma":[0.0001676429,0.0001225292,0.00009985107,0.0003865763,0.005853546,0.0003087049,0.003379026,0.0001538025,0.00004984622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003648993,"about_ca_system_score_gemma":0.00002368755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002072379,"about_ca_topic_score_gemma":0.0000339069,"domain_scores_codex":[0.9967535,0.0002765718,0.0005471217,0.000455923,0.001562382,0.0004044748],"domain_scores_gemma":[0.998292,0.0001386358,0.0004141268,0.001051186,0.000004435457,0.00009958169],"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":[0.00009732524,0.0003228854,0.05148251,0.00003749987,0.00002871936,8.143954e-7,0.001436592,0.08696755,0.8574929,0.0001602555,0.0000122777,0.001960646],"study_design_scores_gemma":[0.0002458281,0.0001759606,0.6443124,0.00009327053,0.00005040098,0.00001352328,0.00009664518,0.003342532,0.3508866,0.0006369757,0.00002734863,0.000118408],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974229,0.00008860409,0.00002181223,0.001459696,0.0001649044,0.0006076774,0.00001219092,0.000004965202,0.0002172747],"genre_scores_gemma":[0.998298,0.0001200761,0.000642723,0.00004822622,0.00001474162,0.00001636747,4.550146e-7,0.00001338509,0.0008460161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5928299,"threshold_uncertainty_score":0.996852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167410278986237,"score_gpt":0.2464839813357256,"score_spread":0.2348098785458633,"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."}}