{"id":"W2156268839","doi":"10.1139/t07-114","title":"Mode of shear effects on yield and liquefied strength ratios","year":2008,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Illinois at Urbana-Champaign; Ministère de l'Enseignement supérieur, de la Recherche et de l'Innovation","keywords":"Void ratio; Geotechnical engineering; Triaxial shear test; Liquefaction; Consolidation (business); Shear (geology); Materials science; Failure mode and effects analysis; Shear strength (soil); Stress space; Geology; Structural engineering; Composite material; Engineering; Finite element method","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000690891,0.0001632462,0.0002349319,0.0002145989,0.0001172846,0.00002088421,0.0001524377,0.0002321584,0.0000267074],"category_scores_gemma":[0.0001805426,0.0001507509,0.00007202787,0.000129661,0.00006215298,0.00005685444,0.00001027463,0.0007710221,0.000003100625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032839,"about_ca_system_score_gemma":0.00009822506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001077576,"about_ca_topic_score_gemma":0.000418678,"domain_scores_codex":[0.9991266,0.00001276807,0.0002478613,0.0001179426,0.0001596759,0.0003352041],"domain_scores_gemma":[0.9990602,0.0001451373,0.00002507434,0.0001769701,0.0000295825,0.0005630461],"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":[0.00001807131,0.00001423667,0.00005246436,0.00009415556,0.00007548662,0.0003233753,0.00009143031,0.9704029,0.007147839,0.002613954,0.006474492,0.01269159],"study_design_scores_gemma":[0.003691237,0.002583598,0.04404527,0.001541928,0.0001793063,0.009075888,0.00007889013,0.7908869,0.0713637,0.01346696,0.0601224,0.002963928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757202,0.0006250411,0.02067415,0.0006474023,0.0004232697,0.000193194,0.00002045336,0.0002810045,0.001415302],"genre_scores_gemma":[0.9988762,0.0002394429,0.0005555794,0.0001332006,0.0001298956,0.000003555907,0.000001468698,0.0000259621,0.00003471427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.179516,"threshold_uncertainty_score":0.6147445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006931242303784801,"score_gpt":0.1900002012378028,"score_spread":0.183068958934018,"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."}}