{"id":"W3161307582","doi":"10.1029/2020jb021422","title":"Trace Elemental Partitioning on Clays Derived From Hydrothermal Muds of the El Tatio Geyser Field, Chile","year":2021,"lang":"en","type":"article","venue":"Journal of Geophysical Research Solid Earth","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"H2020 European Research Council; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Kaolinite; Illite; Montmorillonite; Clay minerals; Weathering; Aqueous solution; Chemistry; Leaching (pedology); Environmental chemistry; Geology; Mineralogy; Geochemistry; Soil water; Soil science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001062504,0.000312903,0.0002514194,0.001123959,0.0005187009,0.0005624898,0.000319199,0.0002225795,0.0007791418],"category_scores_gemma":[0.0001952379,0.0001764064,0.0001508016,0.0005714423,0.0003254073,0.0002527495,0.000440177,0.0002150576,0.0001454214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006645857,"about_ca_system_score_gemma":0.0004340043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04099048,"about_ca_topic_score_gemma":0.05456652,"domain_scores_codex":[0.9999126,0.000004540235,0.000005432415,0.0000326756,0.00002065022,0.00002410317],"domain_scores_gemma":[0.9998931,0.00001659538,0.00002285064,0.000004679051,0.00004068125,0.00002213713],"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":[0.0003719071,0.00009561836,0.2100495,0.0002670432,0.00009921501,0.0009580586,0.00170896,0.0007720671,0.7755164,0.00009263532,0.000245043,0.009823603],"study_design_scores_gemma":[0.00003515026,0.0001279596,0.9570317,0.00003802063,0.000037977,0.0002267945,0.002462872,0.00116682,0.03649565,0.00005994482,0.00229598,0.0000210561],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987233,0.00008473984,0.0001041751,0.00001410029,0.000001176638,0.00001239252,0.0004051135,0.000006732254,0.0006480932],"genre_scores_gemma":[0.9978791,0.0001106753,0.0004001874,0.00003280716,0.000002868271,0.00002471182,0.0006139258,0.000008163646,0.0009275416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04099048,"threshold_uncertainty_score":0.08150375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0268388662278586,"score_gpt":0.3006014725811358,"score_spread":0.2737626063532772,"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."}}