{"id":"W2066894755","doi":"10.1680/gr.14.00007","title":"Extending the Kenney–Lau method to dam core soils of glacial till","year":2014,"lang":"en","type":"article","venue":"Geotechnical Research","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Svenska kraftnät; Uppsala Universitet; Luleå Tekniska Universitet; Chalmers Tekniska Högskola; University of British Columbia; Kungliga Tekniska Högskolan","keywords":"Glacial period; Soil water; Erosion; Internal erosion; Geology; Core (optical fiber); Benchmark (surveying); Environmental science; Geotechnical engineering; Soil science; Geomorphology; Engineering; Geodesy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004556564,0.0001309693,0.0002351729,0.0001893551,0.0001089724,0.00002944147,0.0006489993,0.0001520461,0.0000624355],"category_scores_gemma":[0.00136754,0.00009764206,0.00008760223,0.0006917021,0.00008853245,0.0000405514,0.0002558804,0.0008364929,0.0001357702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007460514,"about_ca_system_score_gemma":0.00002288214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004168891,"about_ca_topic_score_gemma":0.000009114556,"domain_scores_codex":[0.9980918,0.0001322729,0.0002767114,0.0002256606,0.0006365827,0.0006369433],"domain_scores_gemma":[0.9979541,0.001110407,0.00001232762,0.0006144511,0.0001131169,0.0001956353],"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":[0.00006229704,0.00004943362,0.000030738,0.000191154,0.00005258203,0.000008173178,0.0002348177,0.5224112,0.06820757,0.03841146,0.01738587,0.3529547],"study_design_scores_gemma":[0.0003161572,0.0002514919,0.00419968,0.0001274159,0.00001135493,0.00001217907,0.00004658265,0.5970448,0.01312319,0.004566072,0.379985,0.0003160311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08994114,0.0002883771,0.8847092,0.00138167,0.0003949806,0.0006387148,0.00002431283,0.0007875592,0.02183405],"genre_scores_gemma":[0.9915873,0.00004577517,0.007753115,0.00003062491,0.0002221813,0.0000511447,0.000003032891,0.00004310516,0.0002637173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9016462,"threshold_uncertainty_score":0.3981728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07290259726803795,"score_gpt":0.3885764818528093,"score_spread":0.3156738845847714,"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."}}