{"id":"W2077055463","doi":"10.4133/jeeg8.4.263","title":"Electrical Conductivity in Soils: Underlying Phenomena","year":2003,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Thermal conduction; Soil water; Materials science; Microscale chemistry; Anisotropy; Electrical resistivity and conductivity; Porosity; Conductivity; Ionic conductivity; Surface conductivity; Soil science; Mineralogy; Electrolyte; Geology; Electrode; Chemistry; Composite material; Physics; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004120564,0.0006085734,0.0004284455,0.0008576019,0.0003608309,0.001966992,0.0008672204,0.001240977,0.00122014],"category_scores_gemma":[0.002225478,0.0003748476,0.0002052406,0.001188883,0.002795226,0.002789876,0.0009711523,0.0009560616,0.0007120398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006683239,"about_ca_system_score_gemma":0.0002883474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004910488,"about_ca_topic_score_gemma":0.0002146447,"domain_scores_codex":[0.9996495,0.00005626429,0.00001938777,0.0001443561,0.00009996093,0.00003043558],"domain_scores_gemma":[0.9995335,0.0002158702,0.0001027883,0.00007063353,0.00005872514,0.00001843373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001035777,0.0001536237,0.009781862,0.002280076,0.00005827629,0.0008241204,0.0007542631,0.1284825,0.1376203,0.540548,0.003237572,0.1761559],"study_design_scores_gemma":[0.0000267456,0.0001114802,0.008651346,0.00016025,0.00002007444,0.00130534,0.0002914263,0.1361384,0.03489022,0.7912626,0.02703401,0.0001081109],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2932457,0.03807382,0.6096379,0.003934721,0.0004131677,0.0001598288,0.001157706,0.001292721,0.05208448],"genre_scores_gemma":[0.9636998,0.01099757,0.02064752,0.0001961395,0.0002802236,0.00009220485,0.0002227982,0.00006958422,0.003794084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001966992,"threshold_uncertainty_score":0.004849017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462502928004824,"score_gpt":0.1989036437423687,"score_spread":0.1842786144623204,"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."}}