{"id":"W1531375329","doi":"10.1111/gwat.12351","title":"Electrical Resistivity Imaging of Seawater Intrusion into the Monterey Bay Aquifer System","year":2015,"lang":"en","type":"article","venue":"Ground Water","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; U.S. Geological Survey; California Department of Parks and Recreation; S. D. Bechtel, Jr. Foundation and Stephen Bechtel Fund","keywords":"Geology; Aquifer; Transect; Electrical resistivity tomography; Shore; Saltwater intrusion; Brackish water; Lithology; Electrical resistivity and conductivity; Seawater; Bay; Groundwater; Hydrology (agriculture); Geomorphology; Water well; Oceanography; Geotechnical engineering; Petrology; Salinity","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":[0.00009381279,0.0001335795,0.0001178724,0.000607233,0.0002113871,0.0002668033,0.0002064179,0.0001139237,0.0006825129],"category_scores_gemma":[0.0002663367,0.0001032678,0.00006670692,0.0006714494,0.0001503247,0.0001885796,0.0003001704,0.0001268332,0.0001257707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005130067,"about_ca_system_score_gemma":0.0003845031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07225462,"about_ca_topic_score_gemma":0.1630892,"domain_scores_codex":[0.9999367,0.000005437377,0.000003730371,0.00001900501,0.00002222364,0.00001297337],"domain_scores_gemma":[0.9998739,0.00001197504,0.00003431635,0.00001006284,0.00004517645,0.00002455068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003178848,0.0001399568,0.6955823,0.0001206086,0.00007610026,0.001213668,0.001852746,0.01103595,0.2016247,0.0004876791,0.001990351,0.08555813],"study_design_scores_gemma":[0.000007013341,0.00003681961,0.9779596,0.00001206082,0.00001466685,0.0001392709,0.0003792011,0.01465407,0.005390077,0.00005129277,0.001343685,0.00001219519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968901,0.00003489805,0.0006792191,0.00003585684,0.000001450321,0.000004858687,0.0006439481,0.00006031849,0.001649317],"genre_scores_gemma":[0.9979542,0.00003833706,0.001131294,0.00000948764,0.000001366498,0.000002995863,0.000317781,0.000004241419,0.0005401878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07225462,"threshold_uncertainty_score":0.1436681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784880337429807,"score_gpt":0.2281957221164316,"score_spread":0.2103469187421335,"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."}}