{"id":"W2061555530","doi":"10.1139/t03-012","title":"Long-term measurement of matric suction using thermal conductivity sensors","year":2003,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tensiometer (surface tension); Suction; Geotechnical engineering; Thermal conductivity; Hysteresis; Soil science; Calibration; Wetting; Temperature measurement; Hydraulic conductivity; Environmental science; Soil water; Materials science; Geology; Meteorology; Composite material; Thermodynamics; Surface tension; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003545862,0.0001222318,0.0001606068,0.0002109485,0.00009941529,0.00003001869,0.00009669512,0.0001590474,0.0001004631],"category_scores_gemma":[0.0000615257,0.0001171585,0.0000835832,0.000326828,0.00004463376,0.0001167883,0.000003247938,0.0005059091,0.000006307806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005539409,"about_ca_system_score_gemma":0.0002597554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00152138,"about_ca_topic_score_gemma":0.001218534,"domain_scores_codex":[0.9990392,0.00005544951,0.0002420376,0.00009128152,0.0002370151,0.0003349671],"domain_scores_gemma":[0.9993055,0.00001080907,0.00004690444,0.0001325236,0.0001281826,0.0003761023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00001324576,0.00003284763,0.006102492,0.00006142048,0.0001666368,0.0003575282,0.0000727354,0.86978,0.1040786,0.0001539888,0.0005259401,0.01865454],"study_design_scores_gemma":[0.004910646,0.0004428563,0.5267223,0.0009720401,0.0007878152,0.0209219,0.0003168897,0.2434404,0.1869524,0.001349896,0.0096802,0.003502658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955338,0.0005709708,0.00274407,0.00004694032,0.0005381932,0.0000683148,0.000004089754,0.00004577784,0.0004478943],"genre_scores_gemma":[0.9996207,0.00002832432,0.0001970167,0.00001541485,0.0001070436,7.909892e-7,5.525488e-7,0.00002158337,0.000008527233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6263396,"threshold_uncertainty_score":0.4777584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02921864018506612,"score_gpt":0.2174206458677918,"score_spread":0.1882020056827257,"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."}}