{"id":"W4392015581","doi":"10.1007/s10040-024-02776-0","title":"Characterizing deep groundwater using evidence from oil and gas exploration wells in the Lower Kutai Basin of Indonesia","year":2024,"lang":"en","type":"article","venue":"Hydrogeology Journal","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lembaga Pengelola Dana Pendidikan; Kementerian Energi Dan Sumber Daya Mineral; Canadian Institute for Advanced Research","keywords":"Geology; Groundwater; Brackish water; Hydrostatic pressure; Structural basin; Aquifer; Geochemistry; Groundwater flow; Groundwater recharge; Sedimentary rock; Geomorphology; Hydrology (agriculture); Salinity; Oceanography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001482594,0.0001916713,0.0002329757,0.001559912,0.0004100638,0.0005504317,0.0002729271,0.0002382317,0.00045478],"category_scores_gemma":[0.0003997443,0.0001503124,0.0001289,0.001848126,0.0003362951,0.000413139,0.0005820692,0.0001547572,0.00008821303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004583042,"about_ca_system_score_gemma":0.0004936113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02060052,"about_ca_topic_score_gemma":0.05357119,"domain_scores_codex":[0.9998298,0.00001938164,0.00002890922,0.00003280956,0.00006143549,0.0000276079],"domain_scores_gemma":[0.9996469,0.00007010264,0.0001130952,0.00001744493,0.0001118488,0.00004060446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008428792,0.00004286929,0.9542661,0.0001430082,0.00003296223,0.0006850563,0.001501069,0.000483833,0.02323593,0.000102613,0.0001497956,0.01927249],"study_design_scores_gemma":[0.000005721151,0.00004581556,0.9871289,0.00005975715,0.00003914846,0.0003951539,0.003974204,0.002152896,0.004935474,0.0001385828,0.001108311,0.00001605522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979299,0.0001098219,0.0002232156,0.00002945045,0.000001650398,0.000007214185,0.000412348,0.000007967484,0.001278338],"genre_scores_gemma":[0.999253,0.0001001892,0.0003493421,0.0000105045,0.000001244798,0.000006211248,0.0001398915,0.000001328952,0.0001382689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02060052,"threshold_uncertainty_score":0.04096127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02532093901558354,"score_gpt":0.2452533367855835,"score_spread":0.21993239777,"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."}}