{"id":"W4327714851","doi":"10.3390/w15061156","title":"Estimation of Aquifer Storativity Using 3D Geological Modeling and the Spatial Random Bagging Simulation Method: The Saskatchewan River Basin Case Study (Central Canada)","year":2023,"lang":"en","type":"article","venue":"Water","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aquifer; Geology; Groundwater; Structural basin; Context (archaeology); Hydrogeology; Hydrology (agriculture); Hydraulic conductivity; Aquifer properties; Groundwater recharge; Environmental science; Geomorphology; Soil science; Geotechnical engineering; Paleontology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008884986,0.00008759423,0.0001425554,0.00001419033,0.0003981737,0.00002860613,0.00005686171,0.00002061934,0.00004150762],"category_scores_gemma":[0.00002723681,0.00003954857,0.00002247267,0.00006870845,0.0001342622,0.0001262052,0.0001637856,0.00006646691,0.000002293661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007075013,"about_ca_system_score_gemma":0.00001098896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5959261,"about_ca_topic_score_gemma":0.3663725,"domain_scores_codex":[0.9988587,0.0003901105,0.0001733775,0.0001521206,0.0002580515,0.0001675845],"domain_scores_gemma":[0.9996216,0.0002030911,0.00003764133,0.0001055156,0.00001155629,0.00002057008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006113052,0.00001278035,0.02082835,0.000002115445,0.00001794431,0.00002888004,0.01955599,0.9448651,0.0001760752,8.395056e-7,0.000004974973,0.01444579],"study_design_scores_gemma":[0.001040829,0.00001231687,0.01117817,0.000002035067,0.00004691354,0.00001241686,0.005664596,0.9817345,0.0001814585,0.00004744202,0.00001958331,0.00005974218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6841516,0.000002208149,0.315347,0.0001906699,0.0000471955,0.000245524,0.000001342038,0.000008978056,0.000005491303],"genre_scores_gemma":[0.9993295,2.926247e-7,0.0004905146,0.00005895429,0.00001875394,0.00001132294,0.000002498444,0.000004471746,0.00008369613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3151779,"threshold_uncertainty_score":0.6451895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02629560136979315,"score_gpt":0.2674995902806767,"score_spread":0.2412039889108836,"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."}}