{"id":"W2049474364","doi":"10.1007/s12665-013-2638-y","title":"Aquifer system incremental linear property and its application on groundwater management","year":2013,"lang":"en","type":"article","venue":"Environmental Earth Sciences","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Aquifer; Groundwater; Geology; Environmental engineering science; Hydrology (agriculture); Biogeosciences; Groundwater model; Property (philosophy); Petroleum engineering; Groundwater flow; Geomorphology; Environmental science; Geotechnical engineering; Earth science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002452854,0.0001817174,0.000119206,0.00004507409,0.0005389206,0.00008154305,0.0002176004,0.00003716738,0.00110382],"category_scores_gemma":[0.000001191469,0.0001135683,0.00002956277,0.0001111731,0.0003866052,0.0005478122,0.0003563146,0.00007104893,0.005985938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007800701,"about_ca_system_score_gemma":0.00000118174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001943814,"about_ca_topic_score_gemma":0.00001906318,"domain_scores_codex":[0.9983667,0.00004900758,0.0001979168,0.000526126,0.0005585304,0.0003017481],"domain_scores_gemma":[0.9996869,0.00001376735,0.00005781964,0.0001457678,0.00000151436,0.00009426269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005701732,0.001137028,0.4801609,0.0001310079,0.0001265742,0.00002640964,0.003084415,0.0008453453,0.1628499,0.002990032,0.001565949,0.3470255],"study_design_scores_gemma":[0.0007585147,0.000585422,0.9275304,0.00003693533,0.00002828611,0.00002662282,0.004137593,0.01314124,0.01707153,0.00004704674,0.03604091,0.0005955054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852743,0.0000394128,0.0003923436,0.0002619308,0.00007713166,0.0007696127,0.000002895905,0.00005031089,0.01313209],"genre_scores_gemma":[0.9881728,0.00002581178,0.0004452744,0.000332517,0.00002912104,0.0002247542,0.000005988202,0.000008879736,0.01075486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4473695,"threshold_uncertainty_score":0.9998093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009906262357883864,"score_gpt":0.1908175858879607,"score_spread":0.1809113235300768,"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."}}