{"id":"W3165748650","doi":"10.11159/iccste21.131","title":"A Reliability-Based Comparison of EC3 and SANS 10162-1","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eurocode; Reliability (semiconductor); Reliability engineering; Structural engineering; Index (typography); Calibration; Monte Carlo method; Column (typography); Bending; Computer science; Engineering; Mathematics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002567713,0.0004354369,0.0003657788,0.001639253,0.0003424032,0.0006361069,0.0005400165,0.0005771335,0.002945578],"category_scores_gemma":[0.005848779,0.0001881258,0.0005374344,0.001797831,0.0004368363,0.0004393003,0.0004303484,0.0003848545,0.0008914996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00138392,"about_ca_system_score_gemma":0.001125555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02183066,"about_ca_topic_score_gemma":0.03437202,"domain_scores_codex":[0.9978046,0.0002892258,0.0001361137,0.0002090069,0.001431968,0.0001290762],"domain_scores_gemma":[0.9912417,0.002038861,0.0006193354,0.0009128414,0.005061146,0.0001261441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002919276,0.0004142136,0.2147167,0.0005528236,0.0002967198,0.0007403116,0.0007296673,0.386932,0.09409657,0.01585428,0.01382507,0.2689224],"study_design_scores_gemma":[0.00008452476,0.003470556,0.5380177,0.0001625933,0.0002055205,0.001600645,0.001091036,0.2734191,0.1178997,0.003835398,0.05998727,0.0002260212],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9291308,0.0004353909,0.02863602,0.0001226189,0.00006672216,0.0001120634,0.00324766,0.0003773897,0.03787142],"genre_scores_gemma":[0.9792948,0.000136768,0.01187395,0.00003147672,0.00000540233,0.00003824622,0.003465132,0.00008471186,0.005069595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02183066,"threshold_uncertainty_score":0.04340714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04702426426080381,"score_gpt":0.2945359471489163,"score_spread":0.2475116828881125,"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."}}