{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001040602,0.0002341014,0.0002120375,0.001571123,0.00059731,0.0005689792,0.0001700207,0.0002528074,0.000525385],"category_scores_gemma":[0.0003341276,0.0002621168,0.0001159799,0.0006692943,0.0005212213,0.0003731137,0.0004667415,0.0001476086,0.0001237105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006755051,"about_ca_system_score_gemma":0.0004255328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02574039,"about_ca_topic_score_gemma":0.04248891,"domain_scores_codex":[0.9998713,0.00001768457,0.00001181585,0.00003819759,0.00002625783,0.00003476776],"domain_scores_gemma":[0.9998077,0.0000238805,0.00007906948,0.000006375775,0.00004836491,0.00003470089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002680718,0.00002940706,0.729387,0.00007672641,0.00004247657,0.000351624,0.002680386,0.0001334896,0.2572676,0.0001737853,0.00006866622,0.009520804],"study_design_scores_gemma":[0.000002266763,0.00006412224,0.9948161,0.000003222266,0.000008449106,0.0001186928,0.0003044828,0.00009762054,0.004255926,0.00001946029,0.0003052186,0.000004422548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996642,0.00005777952,0.00004978327,0.000004715739,3.51476e-7,0.000002179474,0.00006554518,0.000003951105,0.0001514455],"genre_scores_gemma":[0.999188,0.0000881127,0.0002245419,0.000008194492,0.000001655656,0.000005713437,0.0001422674,0.000002181671,0.0003392005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02574039,"threshold_uncertainty_score":0.05118114,"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."}}