{"id":"W2339565072","doi":"","title":"Shear Strength Reduction Approach For Slope Stability Analyses","year":2007,"lang":"en","type":"article","venue":"1st Canada - U.S. Rock Mechanics Symposium","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rocscience (Canada); Royal Military College of Canada; Queen's University","funders":"","keywords":"Strength reduction; Finite element method; Stiffness; Shear strength (soil); Reduction (mathematics); Shear (geology); Stability (learning theory); Brittleness; Structural engineering; Slope stability; Geotechnical engineering; Mathematics; Engineering; Geology; Computer science; Geometry; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004232278,0.0006157063,0.0004046182,0.0015418,0.0002483624,0.0003773964,0.000546837,0.0002679318,0.004300717],"category_scores_gemma":[0.0009061141,0.0002418645,0.0006154405,0.0004967916,0.0003896349,0.0003310886,0.0005027288,0.0007512194,0.00196722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002571106,"about_ca_system_score_gemma":0.0003658695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001608589,"about_ca_topic_score_gemma":0.001937583,"domain_scores_codex":[0.9997506,0.00006069543,0.00001118346,0.00003091653,0.0001291527,0.00001748078],"domain_scores_gemma":[0.9997585,0.00008512088,0.00002823053,0.0000451802,0.00007657347,0.000006383225],"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":[0.00007755661,0.00009509197,0.002456976,0.0002393671,0.000116262,0.000200717,0.000156025,0.4851741,0.08225837,0.08841483,0.00255762,0.3382532],"study_design_scores_gemma":[0.000006532717,0.00007264225,0.0007433021,0.00001991765,0.0000236893,0.0001122706,0.00002689163,0.9594671,0.008760679,0.02292644,0.007828229,0.00001239127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01208062,0.0001566967,0.9799932,0.00003886372,0.00002041695,0.00004661049,0.00008077917,0.0003270811,0.007255764],"genre_scores_gemma":[0.5580942,0.0008035742,0.4248893,0.0001346744,0.0001018055,0.0003049828,0.00050968,0.0003677419,0.01479406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004300717,"threshold_uncertainty_score":0.01438731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01616298526969458,"score_gpt":0.2210096737396331,"score_spread":0.2048466884699385,"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."}}