{"id":"W3195029813","doi":"10.1139/cgj-2021-0130","title":"Evaluation of small-strain shear modulus of Fontainebleau sand based on innovative pressuremeter probe testing in a calibration chamber","year":2021,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Research and Exchanges Board","keywords":"Geotechnical engineering; Shear modulus; Triaxial shear test; Modulus; Calibration; Consistency (knowledge bases); Shear (geology); Direct shear test; Materials science; Geology; Structural engineering; Engineering; Composite material; Mathematics; Geometry; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005633603,0.0004883357,0.0002800222,0.0006086251,0.0002356358,0.0003343924,0.0004084691,0.0004574862,0.001028264],"category_scores_gemma":[0.001554158,0.0001570328,0.0001321619,0.000354388,0.0004780543,0.0004651698,0.0003380909,0.0002339051,0.0002090832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002607335,"about_ca_system_score_gemma":0.0002513571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009328946,"about_ca_topic_score_gemma":0.00226145,"domain_scores_codex":[0.9994078,0.00007256,0.00001897109,0.0001205137,0.0003503966,0.00002988411],"domain_scores_gemma":[0.9990842,0.0003938765,0.0001526509,0.00009990841,0.0002059729,0.00006337097],"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":[0.0002127076,0.00005023651,0.004605266,0.00005726142,0.000007325464,0.0001417324,0.0001520384,0.001063621,0.9816248,0.0001430453,0.0000312412,0.01191069],"study_design_scores_gemma":[0.00001401698,0.001058178,0.0640546,0.00001136495,0.00001892913,0.0003807262,0.0001665283,0.007628424,0.9252027,0.000104386,0.001327231,0.00003287002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872338,0.0001700243,0.01143772,0.00001857368,0.00001046837,0.00002701607,0.00009841916,0.00007386172,0.0009301257],"genre_scores_gemma":[0.9908587,0.0001246539,0.008202517,0.000008489334,0.000004712942,0.00002106893,0.00007440215,0.000009630671,0.0006958996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001028264,"threshold_uncertainty_score":0.003439903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03751890735256033,"score_gpt":0.2300750281670921,"score_spread":0.1925561208145317,"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."}}