{"id":"W6940433050","doi":"10.1021/acs.est.2c02692.s001","title":"Mercury\\nIsotope Variations in Lake Sediment Cores\\nin Response to Direct Mercury Emissions from Non-Ferrous Metal Smelters\\nand Legacy Mercury Remobilization","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Tailings; Sediment; Smelting; Isotope; Deposition (geology); Environmental remediation; MERCURE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005699617,0.0001722845,0.00009809763,0.0004173125,0.0004524454,0.0004130249,0.0001361724,0.0001547178,0.0009991298],"category_scores_gemma":[0.0001358387,0.0001758874,0.0001060636,0.0003121613,0.0001958929,0.0001790877,0.0002676777,0.0001440601,0.0001784119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006741754,"about_ca_system_score_gemma":0.0002792434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04140032,"about_ca_topic_score_gemma":0.1940632,"domain_scores_codex":[0.9999311,0.000002041877,0.000003585589,0.00002630624,0.00002080402,0.00001615482],"domain_scores_gemma":[0.9999211,0.000005415154,0.00002080486,0.000003501251,0.00003204225,0.00001703293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003228345,0.00003979347,0.5342051,0.00004491838,0.00008213597,0.0001645356,0.0009593492,0.0002252701,0.4545229,0.000102157,0.0003124599,0.009018579],"study_design_scores_gemma":[0.000002360974,0.00001647838,0.9887465,0.000001842487,0.000007411129,0.00002242223,0.0001295523,0.0001417969,0.01045253,0.000009277606,0.0004667109,0.000003092581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998742,0.0000345311,0.00008224245,0.000007405372,0.000001885858,0.000002031349,0.0003375328,0.00001193073,0.00078032],"genre_scores_gemma":[0.9967034,0.00005791909,0.0003375843,0.00002742741,0.000001851227,0.000007815364,0.0009617974,0.00001103548,0.001891049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04140032,"threshold_uncertainty_score":0.08231866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02118068152949231,"score_gpt":0.239733786302496,"score_spread":0.2185531047730037,"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."}}