{"id":"W4393157086","doi":"10.22541/essoar.171136704.41610050/v1","title":"Acceleration of Deep Subsurface Fluid Fluxes in the Anthropocene","year":2024,"lang":"en","type":"preprint","venue":"","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Anthropocene; Aquifer; Groundwater; Environmental science; Greenhouse gas; Earth science; Water cycle; Extraction (chemistry); Hydrology (agriculture); Carbon sequestration; Inflow; Unconventional oil; Geothermal gradient; Carbon cycle; Geology; Carbon dioxide; Geophysics; Ecosystem; Oceanography","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":[0.00009060735,0.0002336869,0.0001499339,0.0003089136,0.00027397,0.0005451955,0.0001084153,0.0003776982,0.001986262],"category_scores_gemma":[0.0002718738,0.0001563752,0.000134694,0.0003818086,0.0005026986,0.0008420741,0.000574356,0.0003352162,0.0001843037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004977486,"about_ca_system_score_gemma":0.0002361518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003592783,"about_ca_topic_score_gemma":0.002997613,"domain_scores_codex":[0.9999454,0.000004819405,0.000001832907,0.00002026179,0.00001207227,0.00001569168],"domain_scores_gemma":[0.9999353,0.00001286258,0.00002395698,0.000005052954,0.00001343901,0.000009434131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005363321,0.0001361349,0.2036512,0.0003790813,0.00006003035,0.001718805,0.001253139,0.02780128,0.6112499,0.03924324,0.002303459,0.1116674],"study_design_scores_gemma":[0.00007574925,0.0003878855,0.585627,0.0001056839,0.00006135163,0.002016502,0.002662937,0.1060702,0.1813187,0.05826249,0.06326518,0.0001464339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810739,0.0008473757,0.008255628,0.0005885757,0.00002851789,0.000005071503,0.0005214211,0.0001818609,0.008497727],"genre_scores_gemma":[0.9977477,0.0002912353,0.001199048,0.00002114058,0.000006732436,0.000002727884,0.00009390757,0.000009009492,0.0006283114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003592783,"threshold_uncertainty_score":0.007143736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298064769375949,"score_gpt":0.2990056127781008,"score_spread":0.2760249650843413,"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."}}