{"id":"W1669516426","doi":"","title":"Mercury cycling and human health concerns in remote ecosystems in the Americas","year":2009,"lang":"en","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Methylmercury; Mercury (programming language); Ecosystem; Aquatic ecosystem; Environmental science; Environmental chemistry; Terrestrial ecosystem; Cycling; Food chain; Bioaccumulation; Ecology; Chemistry; Geography; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002286008,0.0001985398,0.0001635218,0.0009333472,0.001061874,0.0009283844,0.0002558293,0.0005975791,0.002879939],"category_scores_gemma":[0.0002840937,0.00009348986,0.0001880189,0.001286566,0.0009501856,0.0004736744,0.0008526499,0.0005355727,0.0002048795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332596,"about_ca_system_score_gemma":0.001288992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1039515,"about_ca_topic_score_gemma":0.1713402,"domain_scores_codex":[0.9998605,0.00002998617,0.00001029825,0.00002913886,0.00003833084,0.0000317103],"domain_scores_gemma":[0.999751,0.00002520857,0.00009544822,0.000006915195,0.00006068956,0.0000607645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001142577,0.0001976806,0.7601929,0.002027164,0.0001667044,0.004330599,0.01699676,0.000415684,0.006318531,0.005980702,0.01695589,0.1863032],"study_design_scores_gemma":[0.000003802115,0.00007312533,0.9422949,0.0003741449,0.00004489179,0.001557274,0.01002261,0.0001109285,0.0001695919,0.001790719,0.04354162,0.0000165475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8408622,0.09375515,0.000443398,0.03358736,0.0002639708,0.00003448535,0.002139185,0.0001141365,0.02880028],"genre_scores_gemma":[0.9646279,0.02858184,0.0005798634,0.002843386,0.000237454,0.00001169073,0.0004273989,0.00001014923,0.002680348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1039515,"threshold_uncertainty_score":0.2066929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03426061910395888,"score_gpt":0.3192119551674331,"score_spread":0.2849513360634742,"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."}}