{"id":"W4389582719","doi":"10.7185/gold2023.18929","title":"Assessing Hg deposition pathways from the atmosphere to forest plants and soils using Hg stable isotopes","year":2023,"lang":"en","type":"article","venue":"","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Atmosphere (unit); Deposition (geology); Soil water; Environmental science; Environmental chemistry; Isotope; Astrobiology; Earth science; Chemistry; Soil science; Geology; Meteorology; Physics; Nuclear physics; Geomorphology","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":[0.0004232906,0.0004509606,0.0002668906,0.0006000192,0.0007107425,0.0009187383,0.0003773059,0.0005485585,0.000632362],"category_scores_gemma":[0.000283866,0.0002177872,0.0003175996,0.0006947143,0.0003135459,0.000661409,0.0003308119,0.0003741645,0.0001483345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175008,"about_ca_system_score_gemma":0.001764568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08496914,"about_ca_topic_score_gemma":0.1303246,"domain_scores_codex":[0.9998139,0.00003071335,0.000006701579,0.00006526593,0.00004856752,0.00003503402],"domain_scores_gemma":[0.9998727,0.00004069462,0.00002098541,0.000008426634,0.00004354751,0.0000137269],"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":[0.001785211,0.0002586816,0.4101626,0.0003460305,0.0004504093,0.0002472342,0.0007719747,0.01030615,0.5069866,0.00143721,0.0004103741,0.06683749],"study_design_scores_gemma":[0.0001442405,0.001248575,0.622446,0.00006731098,0.0006292011,0.0003468539,0.001999266,0.03154697,0.3320292,0.002329911,0.007154729,0.00005777936],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947389,0.0003218592,0.002561925,0.000054557,0.000005194735,0.00002230116,0.0002800241,0.00002696886,0.001988217],"genre_scores_gemma":[0.993365,0.0006678724,0.004446517,0.00003802649,0.000003506208,0.00001351124,0.0002595021,0.00001924984,0.001186694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08496914,"threshold_uncertainty_score":0.1689491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05730108319951396,"score_gpt":0.2873202063181144,"score_spread":0.2300191231186005,"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."}}