{"id":"W2085688748","doi":"10.1007/s100400000087","title":"Fresh-water lenses and practical limitations of their three-dimensional simulation","year":2000,"lang":"en","type":"article","venue":"Hydrogeology Journal","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Groundwater recharge; Calibration; Aquifer; Hydrogeology; Computer science; Discretization; Set (abstract data type); Environmental science; Hydrology (agriculture); Geology; Civil engineering; Groundwater; Engineering; Geotechnical engineering; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001045491,0.0005979033,0.0009184591,0.0007181379,0.0008376278,0.003365614,0.002669416,0.001805019,0.009538127],"category_scores_gemma":[0.009619046,0.0007835881,0.0007335872,0.001169554,0.0009266311,0.00261126,0.002047986,0.001381015,0.001119455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415307,"about_ca_system_score_gemma":0.001921428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06037413,"about_ca_topic_score_gemma":0.02722549,"domain_scores_codex":[0.9996651,0.0001158478,0.00002980078,0.00004806436,0.0001040725,0.00003711637],"domain_scores_gemma":[0.9966404,0.002119482,0.0000905463,0.0004717582,0.0004593175,0.0002184916],"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":[0.00008429137,0.0000769456,0.003231724,0.0001040119,0.00004528021,0.00006733124,0.0002037647,0.9532738,0.001306395,0.01736564,0.00191499,0.02232584],"study_design_scores_gemma":[0.0000250897,0.000009706959,0.0002595641,0.000008915553,0.00000563859,0.00001454537,0.00004229209,0.9952325,0.0004337846,0.002538515,0.001416952,0.00001245461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2447449,0.001105114,0.6862737,0.003313345,0.0003828886,0.0004793487,0.00325351,0.005955816,0.05449146],"genre_scores_gemma":[0.8816671,0.0006683685,0.1106714,0.0003366075,0.00005688427,0.000277215,0.0004961423,0.0005653478,0.005261065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06037413,"threshold_uncertainty_score":0.1200454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04062145758885434,"score_gpt":0.2361047415028927,"score_spread":0.1954832839140383,"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."}}