{"id":"W2784504638","doi":"10.1520/gtj20160271","title":"Development of a Large-Size Cyclic Direct Simple Shear Device for Characterization of Ground Materials with Oversized Particles","year":2018,"lang":"en","type":"article","venue":"Geotechnical Testing Journal","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geotechnical engineering; Direct shear test; Materials science; Characterization (materials science); Simple (philosophy); Shear (geology); Simple shear; Geology; Composite material; Nanotechnology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006350036,0.0003990573,0.0002550178,0.0007922506,0.0001439286,0.0003058673,0.0004837872,0.0003537555,0.001386218],"category_scores_gemma":[0.000859712,0.0002009225,0.0001702723,0.0003504647,0.0003111547,0.0003304229,0.0003070582,0.0002422439,0.0004034039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001716105,"about_ca_system_score_gemma":0.0003041107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005059176,"about_ca_topic_score_gemma":0.001959072,"domain_scores_codex":[0.9996068,0.0000450138,0.00003784119,0.00007752064,0.0002112117,0.00002166281],"domain_scores_gemma":[0.9991403,0.0002878387,0.0001456902,0.0001056692,0.0002721752,0.00004839886],"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":[0.00004028851,0.00003670428,0.002079239,0.00007298474,0.00000466135,0.00006675068,0.00005147719,0.0002509622,0.9818081,0.0001265222,0.0001338974,0.01532832],"study_design_scores_gemma":[0.00001759473,0.0009777972,0.0206114,0.00002229123,0.00002821127,0.0004178524,0.0001586862,0.006270632,0.966867,0.0001042595,0.004493468,0.00003080723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.73279,0.0008053781,0.2602491,0.0001892239,0.0001431757,0.0008432128,0.001562607,0.0009549164,0.002462353],"genre_scores_gemma":[0.7538389,0.000327007,0.242104,0.00009533459,0.00001849847,0.0004512159,0.0006516969,0.0000462634,0.002467036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001386218,"threshold_uncertainty_score":0.004637361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329319367126719,"score_gpt":0.2446549311303025,"score_spread":0.2213617374590353,"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."}}