{"id":"W2050328911","doi":"10.1007/s10706-008-9201-8","title":"Measurement of Matric Suction Using Tensiometric and Axis Translation Techniques","year":2008,"lang":"en","type":"article","venue":"Geotechnical and Geological Engineering","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Suction; Hydrogeology; Geotechnical engineering; Soil water; Differential pressure; Mechanics; Suction cup; Mechanical engineering; Engineering; Mathematics; Physics; Environmental science; Soil science","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":[0.0001172324,0.0001350107,0.0002097557,0.0002259438,0.00004237342,0.000005283712,0.00004146933,0.0001958157,0.000004236877],"category_scores_gemma":[0.00005296024,0.0001117659,0.00003473913,0.0006626366,0.00005745741,0.0000717369,0.00002011939,0.0001980854,4.505144e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002137555,"about_ca_system_score_gemma":0.00000361093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002399445,"about_ca_topic_score_gemma":3.352925e-7,"domain_scores_codex":[0.9992874,0.000007257167,0.0002216373,0.0001471206,0.0001620935,0.0001744417],"domain_scores_gemma":[0.9997588,0.00003331921,0.0000179247,0.00007835181,0.00004544969,0.00006610574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004278478,0.00007361062,0.001265594,0.000475134,0.00008223098,0.00005107337,0.00008686663,0.5230485,0.2810897,0.0003062687,0.00004469851,0.1934336],"study_design_scores_gemma":[0.0002890845,0.0001463238,0.05812097,0.00007722871,0.0000378946,0.0003631608,0.000005537795,0.9266201,0.01283755,0.0001746898,0.0009969359,0.000330523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439061,0.004011408,0.05129052,0.00003600768,0.00004888803,0.000115913,0.000001345442,0.000504162,0.00008560807],"genre_scores_gemma":[0.9932653,0.0008508746,0.005823755,0.000005240607,0.00003472147,0.000006435203,0.000001074641,0.00001081307,0.000001751395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4035716,"threshold_uncertainty_score":0.4557681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03247912316109235,"score_gpt":0.200502741031026,"score_spread":0.1680236178699336,"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."}}