{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007960564,0.0001376002,0.0002191554,0.00005023781,0.0001351772,0.00006393441,0.0002524156,0.00004986878,0.0001127711],"category_scores_gemma":[0.00005432773,0.00005931838,0.00007854124,0.0001956571,0.0000918096,0.0001604822,0.00004214613,0.0001842348,0.0003631938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001323501,"about_ca_system_score_gemma":0.00001803783,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007951012,"about_ca_topic_score_gemma":0.0002906586,"domain_scores_codex":[0.9984196,0.0003820769,0.0002320943,0.0002458956,0.0003363827,0.0003839071],"domain_scores_gemma":[0.9993396,0.0001561961,0.00003962694,0.0002302692,0.000081012,0.0001532669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008215614,0.0001222228,0.3751669,0.0001226841,0.00007555226,0.00007060797,0.003895338,0.0002955403,0.002230164,0.0008316383,0.002387876,0.6139799],"study_design_scores_gemma":[0.0006217835,0.0004194845,0.9254319,0.00003357661,0.00006162599,0.00003885464,0.0003018198,0.03424847,0.01155165,0.01509536,0.01180266,0.0003927806],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994233,0.0002109482,0.001417213,0.0009511469,0.0002960362,0.0001295547,0.000002485476,0.00004074243,0.002718911],"genre_scores_gemma":[0.998471,0.000001919398,0.0005927389,0.0001782755,0.0002056763,0.000001840203,0.00001799248,0.000003740148,0.0005268254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6135871,"threshold_uncertainty_score":0.9986551,"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."}}