{"id":"W2076894668","doi":"10.1520/gtj11362j","title":"Improved Complex Permittivity Measurement and Data Processing Technique for Soil-Water Systems","year":2002,"lang":"en","type":"article","venue":"Geotechnical Testing Journal","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Queen's University; Golder Associates (Canada)","funders":"","keywords":"Permittivity; Soil science; Relative permittivity; Soil water; Geotechnical engineering; Water content; Soil test; Bulk density; Materials science; Environmental science; Dielectric; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002278825,0.0001873059,0.0002385158,0.00003609776,0.0006653445,0.0002187692,0.000389485,0.0001324254,0.00001749854],"category_scores_gemma":[0.0008029288,0.0001266877,0.00004176427,0.0001227003,0.0002453257,0.0002678542,0.0004761864,0.0004700943,0.000007586606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001571114,"about_ca_system_score_gemma":0.00001106192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009206117,"about_ca_topic_score_gemma":0.00002355087,"domain_scores_codex":[0.9981872,0.00007867549,0.000392989,0.0004361832,0.0004289862,0.0004758977],"domain_scores_gemma":[0.9991201,0.0001017602,0.0001641615,0.0003738244,0.00006449503,0.0001756988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001230824,0.0001050385,0.001067622,0.00007298056,0.00001539036,0.00002557082,0.00007382765,0.001092666,0.6645651,0.000001307659,0.002251406,0.3307168],"study_design_scores_gemma":[0.000769991,0.0002838359,0.01061175,0.000404027,0.00009587946,0.004499343,0.00005814444,0.9672796,0.004883436,0.0004987833,0.01005747,0.0005577842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09210547,0.001450714,0.891149,0.00348303,0.0005414993,0.002691743,0.00001440841,0.0006337439,0.007930377],"genre_scores_gemma":[0.9695079,0.00001016379,0.03003796,0.0001075451,0.0002601361,0.000005343886,0.000002636282,0.00002562876,0.00004271914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9661869,"threshold_uncertainty_score":0.5166174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1568012583399576,"score_gpt":0.2860390021338683,"score_spread":0.1292377437939107,"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."}}