{"id":"W2115850052","doi":"10.1139/t09-074","title":"Reducing shear strength uncertainties in clays by multivariate correlations","year":2010,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multivariate statistics; Univariate; Shear strength (soil); Geotechnical engineering; Shear (geology); Consistency (knowledge bases); Reliability (semiconductor); Triaxial shear test; Mathematics; Computer science; Engineering; Geology; Statistics; Soil water; Soil science; Physics; Geometry","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0003368301,0.0001902967,0.000240409,0.0004601673,0.0001450288,0.00009987815,0.0003043895,0.0003383574,0.0003183078],"category_scores_gemma":[0.0002773651,0.0001949304,0.0001188094,0.0005126853,0.0000615646,0.0001319904,0.00001644493,0.002385541,0.00003701081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002419857,"about_ca_system_score_gemma":0.0001416272,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01334838,"about_ca_topic_score_gemma":0.00542232,"domain_scores_codex":[0.9986283,0.00001975125,0.0004188581,0.0001741168,0.0001641863,0.0005947851],"domain_scores_gemma":[0.9988685,0.00007314343,0.00003257268,0.0002540757,0.00004468033,0.0007269814],"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":[0.000001041664,0.00001135407,0.00009167319,0.00000546459,0.00002302194,0.00004091428,0.00003292872,0.9801285,0.006443278,0.0002676569,0.005436681,0.007517528],"study_design_scores_gemma":[0.0002558167,0.00001749774,0.002030789,0.00005462456,0.00002200329,0.0001094591,0.00004249795,0.9601053,0.000194278,0.000340671,0.03651748,0.0003095608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7106076,0.001621741,0.2698229,0.006561345,0.004530623,0.0005809177,0.0002745976,0.001846548,0.004153753],"genre_scores_gemma":[0.9980921,0.00005345922,0.001437654,0.00004976226,0.0001604198,0.000007289955,0.00001383995,0.00003805209,0.0001474171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2874846,"threshold_uncertainty_score":0.999916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005492445070999855,"score_gpt":0.1977697624663218,"score_spread":0.192277317395322,"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."}}