{"id":"W2182367667","doi":"10.2113/jeeg20.4.303","title":"Geophysical Characterization of an Undrained Dyke Containing an Oil Sands Tailings Pond, Alberta, Canada","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Bentley University; Syncrude; University of Calgary","keywords":"Tailings; Electrical resistivity tomography; Geology; Oil sands; Hydraulic conductivity; Hydrogeology; Petrophysics; Groundwater; Water content; Geotechnical engineering; Geophysics; Soil science; Soil water; Moisture; Geotechnical investigation; Electrical resistivity and conductivity; Porosity; Asphalt; Archaeology","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":[0.0001487361,0.0001535971,0.0003014685,0.00004008721,0.00003991403,0.00001954405,0.0001198694,0.00004644321,0.00003183728],"category_scores_gemma":[0.00002584544,0.0001265617,0.00004928134,0.00009959279,0.00003949195,0.0004249234,0.00001259131,0.0001879123,0.000002792999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001691924,"about_ca_system_score_gemma":0.00006764089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03537622,"about_ca_topic_score_gemma":0.003064391,"domain_scores_codex":[0.9989886,0.00004274668,0.0002996081,0.0001336894,0.000321073,0.0002142381],"domain_scores_gemma":[0.9992508,0.00008862574,0.0001745452,0.00009082747,0.00002011053,0.0003751072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008013849,0.0005742856,0.01780115,0.0001158484,0.0001946882,0.0001076791,0.001834757,0.01143451,0.5299644,0.0002959209,0.00001517636,0.4368601],"study_design_scores_gemma":[0.000791222,0.001755296,0.9691982,0.00002603133,0.00005723634,0.00005102666,0.0002100642,0.02392628,0.002172886,0.0003442056,0.001166384,0.0003012268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994938,0.00003884743,0.000106446,0.00005327904,0.0001901722,0.00002229675,0.00002789375,0.000004470615,0.00006276434],"genre_scores_gemma":[0.9986255,0.00001623602,0.0008309634,0.00006298854,0.0002946137,2.326071e-7,0.00005834347,0.00000649767,0.000104588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.951397,"threshold_uncertainty_score":0.9710473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005995426954899069,"score_gpt":0.1698974783428168,"score_spread":0.1639020513879177,"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."}}