{"id":"W1994253414","doi":"10.1021/es100724y","title":"Natural and Anthropogenic Mercury Distribution in Marine Sediments from Hudson Bay, Canada","year":2010,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Fisheries and Oceans Canada","funders":"","keywords":"Bay; Mercury (programming language); Sedimentary rock; Sediment; Sedimentary organic matter; Oceanography; Deposition (geology); Environmental science; Environmental chemistry; Arctic; Estuary; Organic matter; Geology; Geochemistry; Ecology; Chemistry; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001577795,0.0003193064,0.0002251966,0.001952816,0.001174185,0.0007131637,0.0004598415,0.0001715776,0.0006264777],"category_scores_gemma":[0.00028944,0.000243774,0.0001818109,0.002585436,0.0005653175,0.0001435336,0.0003958753,0.0001397556,0.0001040072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009787143,"about_ca_system_score_gemma":0.006003166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9722191,"about_ca_topic_score_gemma":0.987491,"domain_scores_codex":[0.9998059,0.000008004935,0.00001183873,0.00004373192,0.00007124311,0.0000592892],"domain_scores_gemma":[0.9995916,0.00001571763,0.00005121975,0.000009212255,0.0002439888,0.00008814182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001115672,0.00001752636,0.9866871,0.00003395147,0.00005424995,0.0001891412,0.0005243126,0.0002957694,0.006738028,0.00005764643,0.0003259473,0.004964801],"study_design_scores_gemma":[0.000003158559,0.00001046895,0.9986956,0.000004317527,0.000006839315,0.0000266501,0.0003069549,0.000124122,0.0004090367,0.000004920258,0.0004052689,0.000002747288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977059,0.0002184054,0.00005428463,0.00001801587,0.000002645865,0.000006280338,0.001440753,0.000006617935,0.0005470763],"genre_scores_gemma":[0.997306,0.0002302813,0.0002493848,0.00002841741,0.000002137763,0.000007360186,0.001336646,0.000003485204,0.0008362457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02778089,"threshold_uncertainty_score":0.07101101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003345511274683325,"score_gpt":0.2125818143789134,"score_spread":0.2092363031042301,"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."}}