{"id":"W4389561110","doi":"10.7185/gold2023.20137","title":"Assessing the deposition of atmospheric mercury in Hawaiian soils from the Big Island 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":"Agence Nationale de la Recherche","keywords":"Mercury (programming language); Soil water; Environmental chemistry; Stable isotope ratio; Environmental science; Isotope; Deposition (geology); Earth science; Chemistry; Geology; Soil science; Physics; Computer science; Geomorphology; Nuclear physics","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":[0.0002915843,0.0004080087,0.0001439571,0.0005147463,0.00059805,0.0007367184,0.0003505829,0.0003974836,0.0003475454],"category_scores_gemma":[0.0002879372,0.0001806064,0.000214239,0.0005474015,0.000252979,0.0003893723,0.000358893,0.0002178412,0.00008119155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080953,"about_ca_system_score_gemma":0.0009204014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2289469,"about_ca_topic_score_gemma":0.3663591,"domain_scores_codex":[0.9999,0.00001668188,0.000005834041,0.00002643348,0.0000320383,0.00001901722],"domain_scores_gemma":[0.9998817,0.00002106452,0.00001771587,0.000006318511,0.00005530967,0.00001784673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002904295,0.00008898714,0.8738416,0.0001020693,0.0003039486,0.0004933976,0.00150667,0.002727763,0.1029157,0.0001431845,0.0001751628,0.01741087],"study_design_scores_gemma":[0.00001522303,0.0001306813,0.9783806,0.00001216543,0.0001285169,0.00009655831,0.002002232,0.003507479,0.0144817,0.00008880349,0.001140376,0.00001560405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991894,0.00006114355,0.0001216992,0.0000147084,0.000001092508,0.000003631551,0.00006085896,0.000003129638,0.0005441917],"genre_scores_gemma":[0.9988632,0.0001148926,0.000452694,0.00001264603,0.000001631451,0.000004178282,0.0001054127,0.000002455501,0.0004428828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2289469,"threshold_uncertainty_score":0.4552285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04211615850414575,"score_gpt":0.2962286071780998,"score_spread":0.2541124486739541,"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."}}