{"id":"W1832316460","doi":"10.1139/cgj-2012-0176","title":"Extended multivariate approach for uncertainty reduction in the assessment of undrained shear strength in clays","year":2013,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trafikverket","keywords":"Multivariate statistics; Geotechnical engineering; Shear strength (soil); Transformation (genetics); Extension (predicate logic); Multivariate analysis; Shear (geology); Mathematics; Statistics; Geology; Computer science; Soil science; Soil water; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00072294,0.0001486745,0.0002714265,0.0004211503,0.00005217514,0.00004968463,0.0003273423,0.0001890148,0.00004018779],"category_scores_gemma":[0.0001189909,0.0001165656,0.0001331406,0.0005367281,0.0000424398,0.00009641427,0.000009999724,0.0008161755,0.000001119125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004013042,"about_ca_system_score_gemma":0.0001361069,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008191566,"about_ca_topic_score_gemma":0.0005964129,"domain_scores_codex":[0.9986951,0.00005802797,0.0004838965,0.0001502899,0.0001713446,0.00044129],"domain_scores_gemma":[0.9993684,0.00007943757,0.00004734407,0.0002273053,0.0000577106,0.0002198343],"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":[0.00000159708,0.00003527147,0.00002285869,0.00002272007,0.00002033933,0.000004306438,0.00004728157,0.9933452,0.001074664,0.0005138566,0.0003295432,0.00458235],"study_design_scores_gemma":[0.000430375,0.00004465568,0.01380135,0.00003820407,0.00001623908,0.00003965414,0.000293816,0.9839517,0.00002171077,0.0008302695,0.000394297,0.0001377208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1905306,0.0003421174,0.8014407,0.00374968,0.0004112129,0.001983371,0.0000676654,0.0002257131,0.001248935],"genre_scores_gemma":[0.9906211,0.00002583891,0.009117616,0.0000289588,0.00007405776,0.00008685527,0.00001430768,0.00001975436,0.00001148855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8000905,"threshold_uncertainty_score":0.998413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142672568904313,"score_gpt":0.2359147397934575,"score_spread":0.2244880141044144,"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."}}