{"id":"W4376870643","doi":"10.1061/ijgnai.gmeng-8459","title":"Spline Search for Slip Surfaces in 3D Slopes","year":2023,"lang":"en","type":"article","venue":"International Journal of Geomechanics","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Geomechanica (Canada); Rocscience (Canada)","funders":"","keywords":"Mathematics; Slip (aerodynamics); Geometry; Slipping; Parametric surface; Ellipsoid; Slope stability analysis; Surface (topology); Parametric statistics; Slope stability; Mathematical analysis; Geology; Geotechnical engineering; Engineering; Geodesy","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":[0.0006855917,0.0005833538,0.0007814953,0.0008237545,0.000346659,0.0006661097,0.0007558801,0.0009230447,0.001397273],"category_scores_gemma":[0.00161485,0.0004499982,0.0008478889,0.0005779082,0.0006142647,0.0004790052,0.001121397,0.0006374561,0.0003042975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003518627,"about_ca_system_score_gemma":0.000805634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002314049,"about_ca_topic_score_gemma":0.002030494,"domain_scores_codex":[0.9997678,0.00008450871,0.000009958675,0.00003106305,0.00007462307,0.000031983],"domain_scores_gemma":[0.999586,0.0002370312,0.00004466048,0.00002204353,0.00007831,0.00003193211],"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":[0.00007744417,0.00003967029,0.001279042,0.00007325487,0.00002456213,0.00009575481,0.00009732843,0.9458178,0.005593543,0.01193457,0.0004801417,0.03448682],"study_design_scores_gemma":[0.000006026991,0.00001941446,0.00006561523,0.000004172263,0.000001711542,0.000008246709,0.00001314678,0.997783,0.000331436,0.001468972,0.0002954329,0.000002847609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05799626,0.000182305,0.9394497,0.00008761226,0.00002341014,0.00004754795,0.00004357357,0.0001896248,0.001979983],"genre_scores_gemma":[0.666236,0.0002307804,0.3301847,0.00005183852,0.00002902378,0.0002354122,0.0002203178,0.0001195498,0.002692403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002314049,"threshold_uncertainty_score":0.004674375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460099113249554,"score_gpt":0.2610995074787045,"score_spread":0.246498516346209,"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."}}