{"id":"W2933523412","doi":"10.1007/s10333-019-00725-2","title":"Slope stability evaluation of an agricultural embankment by statistically derived rainfall patterns","year":2019,"lang":"en","type":"article","venue":"Paddy and Water Environment","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Levee; Slope stability; Environmental science; Flood myth; Storm; Flooding (psychology); Geotechnical engineering; Stability (learning theory); Hydrology (agriculture); Landslide; Geology; Geography","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":[0.0003133027,0.0002618855,0.0002238915,0.001094296,0.0002595616,0.0003771449,0.0002058423,0.0002105423,0.0007256399],"category_scores_gemma":[0.0008005072,0.0001676368,0.0002850129,0.0006925116,0.0001769456,0.0001802814,0.0001880312,0.0001349501,0.0001205068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003670777,"about_ca_system_score_gemma":0.0003688083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008707555,"about_ca_topic_score_gemma":0.01229683,"domain_scores_codex":[0.9998991,0.00002312043,0.000008392451,0.00002744218,0.00002214951,0.00001975376],"domain_scores_gemma":[0.9996018,0.0001352637,0.00005535349,0.00003750222,0.0001294881,0.00004050845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003101176,0.0004076044,0.4675932,0.0001248255,0.000357695,0.0006048191,0.0002637937,0.3564568,0.1015374,0.0005338574,0.0004758906,0.06854294],"study_design_scores_gemma":[0.00004432478,0.0002718075,0.355877,0.000006405328,0.00007903564,0.00008504286,0.0001316577,0.6314356,0.01175207,0.00009944044,0.0001938102,0.00002377232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981928,0.000009090211,0.001435221,0.000003253476,9.609279e-7,0.000004089296,0.0001120365,0.00004659075,0.0001958335],"genre_scores_gemma":[0.9991316,0.000005598878,0.0006557205,6.624671e-7,6.49315e-7,0.000002014199,0.0001357609,0.000004359123,0.00006377699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008707555,"threshold_uncertainty_score":0.01731372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009140753055853296,"score_gpt":0.1864337035568441,"score_spread":0.1772929505009908,"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."}}