{"id":"W4389132251","doi":"10.1016/j.compgeo.2023.105952","title":"Influence of data sampling on confidence in the calculation of reliability index for simple performance functions","year":2023,"lang":"en","type":"article","venue":"Computers and Geotechnics","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Statistics; Logarithm; Reliability (semiconductor); Mathematics; Range (aeronautics); Sample size determination; Confidence interval; Point estimation; Sample (material); Population; Index (typography); Limit (mathematics); Mathematical analysis; Computer science; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.04231066,0.0006492578,0.0009389749,0.001437681,0.0004426822,0.001641027,0.001294412,0.001124161,0.0005576935],"category_scores_gemma":[0.2978442,0.0004774664,0.0008914953,0.0009819046,0.00209099,0.001958725,0.001668404,0.001531507,0.0001157346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007584611,"about_ca_system_score_gemma":0.0008510805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002338602,"about_ca_topic_score_gemma":0.001403261,"domain_scores_codex":[0.9764454,0.01681855,0.001077595,0.001293334,0.003828364,0.0005368165],"domain_scores_gemma":[0.4663082,0.5105205,0.005860943,0.01078496,0.005908196,0.0006171342],"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":[0.002649211,0.0001648018,0.04332973,0.0009748471,0.0006776189,0.0009038177,0.0008959049,0.7334775,0.01924813,0.03614605,0.001126217,0.1604062],"study_design_scores_gemma":[0.00003550676,0.0001791323,0.0060656,0.00009331067,0.000108332,0.0002329522,0.00003530226,0.9703702,0.0153786,0.00714887,0.0002950895,0.00005706873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1706785,0.0014008,0.8255681,0.0003235804,0.00007692542,0.0000455239,0.0001013442,0.0004864768,0.001318658],"genre_scores_gemma":[0.93413,0.0002752166,0.06493875,0.0000995302,0.0000652786,0.00004328401,0.0000902191,0.0001965531,0.0001611781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04231066,"threshold_uncertainty_score":0.2237628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.177179588908672,"score_gpt":0.3761093898597805,"score_spread":0.1989298009511086,"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."}}