{"id":"W4392193823","doi":"10.1007/s10706-024-02760-1","title":"Modeling Time-Dependent Uniaxial Compressive Behaviors of an Artificial Frozen Sandy Clay at Different Temperatures","year":2024,"lang":"en","type":"article","venue":"Geotechnical and Geological Engineering","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Creep; Geotechnical engineering; Stress relaxation; Constitutive equation; Hydrogeology; Materials science; Softening; Hardening (computing); Soil water; Strain rate; Strain hardening exponent; Stress (linguistics); Compressive strength; Effective stress; Finite element method; Geology; Composite material; Structural engineering; Engineering; Soil science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009559406,0.0001781411,0.0002603203,0.00006480288,0.00008257516,0.00005699975,0.0001330255,0.0001868656,0.002149626],"category_scores_gemma":[0.0000203422,0.0001187852,0.00006638152,0.00008435811,0.0000653102,0.0000851301,0.00006807686,0.0002929291,0.00003158621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005300141,"about_ca_system_score_gemma":0.000004563643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003848055,"about_ca_topic_score_gemma":0.0002480887,"domain_scores_codex":[0.9989479,0.00002593461,0.0002493935,0.0003143706,0.0001834504,0.0002789781],"domain_scores_gemma":[0.9995763,0.000113146,0.00001644896,0.0001189852,0.00001535618,0.000159756],"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":[0.0001451037,0.00006773655,0.003582977,0.0001008436,0.00002946184,0.0002285252,0.0001862628,0.8843659,0.1059898,0.0001480602,0.00003649743,0.005118759],"study_design_scores_gemma":[0.00009661528,0.000225497,0.01034123,0.00005271861,0.00002871227,0.00005402311,0.00001626354,0.9869129,0.001707358,0.0002357505,0.0001311436,0.000197773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975064,0.001084929,0.0003895249,0.00009781568,0.0001687471,0.0001145388,0.0004301365,0.0001540594,0.00005381859],"genre_scores_gemma":[0.9990965,0.0001010671,0.00005391164,0.00002657635,0.0001715158,0.000002686802,0.0005047208,0.000005210912,0.00003779653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1042825,"threshold_uncertainty_score":0.9987625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162705332677258,"score_gpt":0.2268749781962788,"score_spread":0.2052479248695062,"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."}}