{"id":"W2892961533","doi":"10.1016/j.marpolbul.2018.09.018","title":"Mercury assessment, macrobenthos diversity and environmental quality conditions in the Salado Estuary (Gulf of Guayaquil, Ecuador) impacted by anthropogenic influences","year":2018,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Ministry of Environment; Escuela Superior Politécnica del Litoral","keywords":"Estuary; Macrobenthos; Mangrove; Mercury (programming language); Biota; Environmental science; Salinity; Water quality; Sediment; Hypoxia (environmental); Oceanography; Fishery; Ecology; Geology; Benthic zone; Biology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005726792,0.0001653628,0.0001973462,0.00004646393,0.0007376935,0.00001766101,0.0002075894,0.00005943003,0.009279558],"category_scores_gemma":[0.00005408209,0.0001307542,0.00005328821,0.0001919823,0.001499222,0.000131797,0.001013814,0.0001342221,0.0000937936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001183518,"about_ca_system_score_gemma":0.000008432648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0051271,"about_ca_topic_score_gemma":0.0003156709,"domain_scores_codex":[0.9984828,0.000288473,0.0003377289,0.0002601972,0.0003734244,0.0002573268],"domain_scores_gemma":[0.9994103,0.00009722246,0.0001872583,0.0002218171,0.000007184116,0.00007627238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000262857,0.0001902846,0.9723951,0.000006409712,0.0000237307,0.00000197495,0.001353219,0.000005594748,0.01366096,0.00005425081,0.01120588,0.001076316],"study_design_scores_gemma":[0.0005058071,0.0001271112,0.9914659,0.00000694746,0.00002687514,0.000008658042,0.002186852,0.00002214904,0.001060594,0.0002158868,0.004223379,0.0001498495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947325,0.00005674444,0.00005410312,0.002107043,0.00005744477,0.000267476,0.0002677454,0.00001816759,0.002438754],"genre_scores_gemma":[0.9987113,0.0001851626,0.0001420845,0.0006890959,0.00002508554,0.0000108333,0.00007944716,0.00000607491,0.0001508462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0190708,"threshold_uncertainty_score":0.9916261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560733492877617,"score_gpt":0.2894906882613564,"score_spread":0.2738833533325802,"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."}}