{"id":"W3007509990","doi":"10.1038/s41598-020-59581-4","title":"Laboratory-scale characterization of saturated soil samples through ultrasonic techniques","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Solver; Ultrasonic sensor; Porosity; Poromechanics; Scale (ratio); Soil test; Geotechnical engineering; Finite element method; Characterization (materials science); Porous medium; Computer science; Geology; Soil science; Engineering; Materials science; Acoustics; Soil water; Structural engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002270845,0.0002150269,0.0002421095,0.0003625265,0.0001470595,0.0002393633,0.0002956156,0.0002490902,0.000960314],"category_scores_gemma":[0.0004223939,0.0001079134,0.000130463,0.0002889837,0.0002797164,0.0002776474,0.0002240894,0.0002110112,0.0002934005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001418188,"about_ca_system_score_gemma":0.0002279142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005435901,"about_ca_topic_score_gemma":0.001654457,"domain_scores_codex":[0.9998752,0.00001510182,0.000007865548,0.00002491308,0.00006561293,0.00001140572],"domain_scores_gemma":[0.9997912,0.00007931854,0.00002928898,0.00002758447,0.00006091722,0.00001173799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004176967,0.00005042874,0.002720985,0.00009696516,0.000005554623,0.00006800453,0.00007203688,0.008058156,0.9672477,0.000361674,0.00009071609,0.02118596],"study_design_scores_gemma":[0.000008606609,0.0003283652,0.009662595,0.00001021398,0.00001573556,0.0001941399,0.0002075725,0.1141633,0.8732867,0.0005117687,0.001592364,0.00001857112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5959706,0.0002251914,0.4005997,0.00004141938,0.000013169,0.0001223892,0.0003688913,0.000590509,0.002068125],"genre_scores_gemma":[0.8977305,0.000202334,0.100632,0.00001516209,0.000005147246,0.0001146292,0.0002485834,0.00003821424,0.001013488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000960314,"threshold_uncertainty_score":0.003212571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008900035177429174,"score_gpt":0.1991647418873402,"score_spread":0.190264706709911,"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."}}