{"id":"W2061989193","doi":"10.1007/s10706-014-9817-9","title":"Sensitivity Analysis of Bending and Toppling Deformation for Anti-slope Based on the Grey Relation Method","year":2014,"lang":"en","type":"article","venue":"Geotechnical and Geological Engineering","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Rock mass classification; Cohesion (chemistry); Geological Strength Index; Geology; Geotechnical engineering; Deformation (meteorology); Magnetic dip; Friction angle; Hydrogeology; Modulus; Poisson's ratio; Bending; Geometry; Materials science; Poisson distribution; Composite material; Mathematics","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":[0.001036124,0.0004781505,0.0006265733,0.000790645,0.0002479299,0.0005192482,0.0005922511,0.0007268536,0.001270289],"category_scores_gemma":[0.00227492,0.0003056096,0.0009644231,0.0005331087,0.0005671792,0.0005718082,0.0004963758,0.0004288608,0.0000740405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006383967,"about_ca_system_score_gemma":0.0003337147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008147612,"about_ca_topic_score_gemma":0.003975731,"domain_scores_codex":[0.999599,0.0001725776,0.00001377426,0.00007046504,0.00009412849,0.00004999441],"domain_scores_gemma":[0.9987348,0.001048491,0.00004467107,0.00006242731,0.000088737,0.00002096584],"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":[0.00008710624,0.00003208031,0.001424354,0.00005755702,0.00006197439,0.000139705,0.00004018549,0.9780758,0.009352719,0.002416919,0.0001025327,0.008209121],"study_design_scores_gemma":[0.000001785797,0.0000131707,0.001034689,0.000001636628,0.000008724091,0.00001070085,0.000005002881,0.9974658,0.0007831184,0.0006311139,0.00003858854,0.000005581064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5615904,0.0003721631,0.433836,0.0001335233,0.00003841367,0.00005736899,0.0001515108,0.0002962983,0.003524337],"genre_scores_gemma":[0.9941654,0.00005629738,0.005297342,0.000009630427,0.000003897685,0.000009143768,0.00003540437,0.00001416883,0.0004088122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008147612,"threshold_uncertainty_score":0.01620036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008657524791679826,"score_gpt":0.213750589913148,"score_spread":0.2050930651214682,"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."}}