{"id":"W2998844935","doi":"10.1016/j.marchem.2020.103755","title":"Elemental mercury in the marine boundary layer of North America: Temporal and spatial patterns","year":2020,"lang":"en","type":"article","venue":"Marine Chemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; ArcticNet","keywords":"Oceanography; Transect; Mercury (programming language); Arctic; Environmental science; Biogeochemical cycle; Submarine pipeline; Marine ecosystem; Bay; Mixed layer; Climatology; Atmospheric sciences; Geology; Ecosystem; Environmental chemistry; Ecology; Chemistry; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005502222,0.0001039171,0.000132222,0.000004286209,0.00004464129,0.00001255042,0.0001321039,0.00001768368,0.003569377],"category_scores_gemma":[0.00002330496,0.00007840938,0.00002682452,0.00009923038,0.0001578059,0.00005294241,0.0005080029,0.0001125578,0.00001452505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002082279,"about_ca_system_score_gemma":0.000005809268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003355949,"about_ca_topic_score_gemma":0.001050904,"domain_scores_codex":[0.99932,0.00001578795,0.0001804499,0.0001614456,0.0001871018,0.0001351724],"domain_scores_gemma":[0.9997398,0.00002119243,0.00006875179,0.0001085207,0.000003033335,0.00005868235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001596975,0.00003220265,0.9714187,0.00003504,0.000007780299,0.000008551483,0.0005929449,0.000003167883,0.004143623,1.303702e-7,0.0009182864,0.02282358],"study_design_scores_gemma":[0.000291892,0.00003138854,0.9833167,0.000002712142,0.000009240154,0.000005010949,0.0004713506,0.0000895716,0.005877553,0.00001149796,0.009797045,0.00009600148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903736,0.000008100315,0.00002273999,0.001149291,0.00001211011,0.00008152693,0.00003380653,0.000008259684,0.00831053],"genre_scores_gemma":[0.9988847,0.0000361517,0.00006334521,0.0007281167,0.00005147544,0.000009265156,0.00008955107,0.000005720314,0.0001316993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02272758,"threshold_uncertainty_score":0.9973415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364572703100984,"score_gpt":0.2301481952955032,"score_spread":0.2165024682644934,"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."}}