{"id":"W4410458460","doi":"10.1016/j.apgeochem.2025.106428","title":"Use of near-surface waters in identifying elemental associations with geothermal-sourced Li","year":2025,"lang":"en","type":"article","venue":"Applied Geochemistry","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; Newcastle University","keywords":"Geothermal gradient; Geology; Environmental science; Geochemistry; Earth science; Mining engineering; Mineralogy; Paleontology","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":[0.000137431,0.0002678776,0.0002693083,0.0007326367,0.0003172652,0.0007534221,0.0001930403,0.0003439416,0.0006068187],"category_scores_gemma":[0.0003135791,0.0001652967,0.000190359,0.0009042778,0.0002550541,0.0003542048,0.0004869551,0.0001660526,0.0002553629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001974911,"about_ca_system_score_gemma":0.0001808345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008908221,"about_ca_topic_score_gemma":0.02327483,"domain_scores_codex":[0.9998416,0.00003117016,0.000007831199,0.00006163347,0.00003907128,0.00001866394],"domain_scores_gemma":[0.9998406,0.00003029503,0.00005589624,0.00001335962,0.00004206321,0.00001770308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000282598,0.00009089755,0.7643022,0.00009282179,0.00005777215,0.0001457184,0.001337615,0.0005413,0.1973824,0.00008427021,0.000118395,0.03556408],"study_design_scores_gemma":[0.00000433213,0.0001990426,0.9857534,0.00001401556,0.00002872768,0.0001346575,0.001534431,0.001912779,0.009391598,0.00009472756,0.0009199239,0.00001243339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981173,0.00006952607,0.0007232971,0.00001282368,0.000001314556,0.00001381488,0.0003236028,0.00001125119,0.0007269637],"genre_scores_gemma":[0.9970793,0.0001000168,0.002028365,0.00001442865,0.000002120333,0.00001551218,0.0003414424,0.000004276211,0.0004146109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008908221,"threshold_uncertainty_score":0.01771271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314202459544156,"score_gpt":0.2369873279228819,"score_spread":0.2238453033274403,"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."}}