{"id":"W2015085728","doi":"10.1002/hyp.7983","title":"Hydrological response of weathered clay‐shale slopes: water infiltration monitoring with time‐lapse electrical resistivity tomography","year":2011,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche; Université de Lausanne; European Commission","keywords":"Electrical resistivity tomography; Infiltration (HVAC); Electrical resistivity and conductivity; Landslide; Geology; TRACER; Oil shale; Hydraulic conductivity; Soil science; Subsurface flow; Hydrology (agriculture); Groundwater; Water content; Water flow; Soil water; Geomorphology; Geotechnical engineering; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001241607,0.0001281975,0.0001354492,0.0002382378,0.0000717611,0.0002362838,0.0001258086,0.0001775776,0.0002846023],"category_scores_gemma":[0.0002048982,0.00008593245,0.00007898394,0.0002124408,0.0001300319,0.0001885807,0.0001125941,0.0001204609,0.00004667053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001026052,"about_ca_system_score_gemma":0.0000675512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001305238,"about_ca_topic_score_gemma":0.001810839,"domain_scores_codex":[0.9999545,0.00001008952,0.000001712877,0.00001207168,0.00001300951,0.000008696602],"domain_scores_gemma":[0.9999139,0.00001999801,0.00002809712,0.000007270487,0.00002084093,0.000009846476],"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":[0.0002847319,0.00009635335,0.1016771,0.00004357652,0.0000359866,0.0002199851,0.0001707551,0.007155571,0.8748019,0.00004722398,0.0000722016,0.01539466],"study_design_scores_gemma":[0.00003726911,0.0005672802,0.7330102,0.0000103221,0.00005748789,0.0003209941,0.0003491399,0.09489315,0.1699567,0.00007971407,0.0006838067,0.00003383718],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986641,0.00002225296,0.001157804,0.000004846569,6.889923e-7,0.000002177589,0.00003773585,0.00001658322,0.00009386483],"genre_scores_gemma":[0.9990522,0.00001979313,0.0008368076,0.000002038219,0.000001115811,0.000002435004,0.00003234335,0.000001742446,0.00005162556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001305238,"threshold_uncertainty_score":0.002595246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02704409766357318,"score_gpt":0.2290242714497337,"score_spread":0.2019801737861605,"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."}}