{"id":"W2054785640","doi":"10.1021/es025931k","title":"Distribution and Early Diagenesis of Antimony Species in Sediments and Porewaters of Freshwater Lakes","year":2003,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; U.S. Environmental Protection Agency","keywords":"Antimony; Manganese; Diagenesis; Anoxic waters; Dissolution; Sediment; Sulfide; Environmental chemistry; Weathering; Geology; Chemistry; Organic matter; Stibnite; Seawater; Solubility; Mineralogy; Inorganic chemistry; Geochemistry; Pyrite; Sphalerite","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002361013,0.00007161801,0.0001037058,0.0001162277,0.00005791584,0.000004781501,0.0001007512,0.00005289375,0.0002131305],"category_scores_gemma":[0.00002580634,0.00006502173,0.00001035352,0.0003072721,0.002425193,0.0002048219,0.0001393966,0.00004376306,0.000005344515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009094063,"about_ca_system_score_gemma":0.00000388586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005051827,"about_ca_topic_score_gemma":0.00005652318,"domain_scores_codex":[0.9992329,0.00001733353,0.0001732817,0.0002279534,0.0001875882,0.0001609039],"domain_scores_gemma":[0.9997685,0.000009671895,0.00007689569,0.0001085831,0.000001386544,0.00003493815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001578245,0.00002904644,0.5962051,0.000001230381,7.500674e-7,8.328615e-7,0.0002136944,0.00000524671,0.4004828,0.0004104004,0.000003867304,0.002645555],"study_design_scores_gemma":[0.0001632231,0.00005234751,0.6417571,0.000004396072,0.000002562929,0.000003692469,0.0004093377,0.00003251976,0.3564957,0.000319834,0.0007094688,0.00004978444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990981,0.00004270073,0.0001051066,0.000103334,0.00002118371,0.0001180733,0.00001398497,0.00000744548,0.0004900825],"genre_scores_gemma":[0.9994249,0.00007682402,0.00034816,0.000008611502,7.698028e-7,0.000004156436,0.000002855815,0.000002668769,0.0001310676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04555205,"threshold_uncertainty_score":0.8935726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003737917280968902,"score_gpt":0.1818891435443215,"score_spread":0.1781512262633526,"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."}}