{"id":"W3202639194","doi":"10.1680/jgeen.21.00125","title":"Strength parameter selection framework for evaluating the design life of clay cut slopes","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Geotechnical Engineering","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Engineering and Physical Sciences Research Council","keywords":"Geotechnical engineering; Strength reduction; Softening; Residual; Residual strength; Structural engineering; Limit analysis; Strength of materials; Geology; Engineering; Mathematics; Materials science; Finite element method; Composite material","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008454595,0.000344123,0.0006127686,0.0002008958,0.00008545301,0.00002847647,0.0005739578,0.0003456059,0.00001286071],"category_scores_gemma":[0.005637283,0.0002641244,0.0004698144,0.001412753,0.0001276259,0.0001851607,0.000108535,0.0006603651,5.740922e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009052865,"about_ca_system_score_gemma":0.00009023578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005735666,"about_ca_topic_score_gemma":8.421738e-7,"domain_scores_codex":[0.9978615,0.00001144453,0.0009075984,0.0002859771,0.0005297574,0.000403701],"domain_scores_gemma":[0.9982063,0.00070033,0.0002200069,0.0002890295,0.0004783484,0.0001059842],"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":[0.00001621681,0.00004234611,0.000008987581,0.0006307862,0.0001974725,1.083024e-7,0.00004890619,0.8740985,0.1103547,0.01391779,0.00008757872,0.0005966214],"study_design_scores_gemma":[0.0002705454,0.00009317302,0.00009721101,0.0005189194,0.0002083252,0.000008129908,0.000037182,0.7738315,0.2235838,0.0007046108,0.0004206224,0.0002260425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07409045,0.0006249765,0.9237545,0.0002050643,0.0003604543,0.0004627813,0.00001781873,0.0003999923,0.00008398825],"genre_scores_gemma":[0.9373887,0.0001114007,0.06222457,0.00001302486,0.00008858194,0.0001009749,0.000002807755,0.0000559751,0.00001396243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8632982,"threshold_uncertainty_score":0.9999811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188529309097746,"score_gpt":0.2483849341718731,"score_spread":0.2264996410808957,"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."}}