{"id":"W2407812974","doi":"10.21012/fc9.014","title":"Probabilistic evaluation of concrete strains for assessing prestressing loss in nuclear containment segments","year":2016,"lang":"en","type":"article","venue":"","topic":"Structural Response to Dynamic Loads","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University Network of Excellence in Nuclear Engineering","keywords":"Containment (computer programming); Probabilistic logic; Computer science; Reliability engineering; Forensic engineering; Structural engineering; Environmental science; Nuclear engineering; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001932569,0.0009896565,0.0004435642,0.003260186,0.0002348349,0.0006535349,0.0009068241,0.00104031,0.0007834462],"category_scores_gemma":[0.005273434,0.000457962,0.0005126562,0.001056998,0.0004185093,0.0008361095,0.0006317885,0.0003259103,0.0002543516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005488013,"about_ca_system_score_gemma":0.0004052884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002581502,"about_ca_topic_score_gemma":0.003827919,"domain_scores_codex":[0.9985995,0.0003934882,0.00008019151,0.0001806131,0.0006700747,0.00007608347],"domain_scores_gemma":[0.9967042,0.00173292,0.0007191656,0.0002250833,0.0005301308,0.0000884806],"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":[0.0002624343,0.00008506744,0.02313351,0.00005692306,0.00004417326,0.00008572973,0.00007867476,0.9146901,0.02583702,0.0006348143,0.00005636369,0.03503533],"study_design_scores_gemma":[0.000003128113,0.0001576245,0.0215047,0.00001037491,0.00001936939,0.00006747468,0.00004006972,0.9700061,0.007712777,0.0003588019,0.00009329933,0.00002623219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5794473,0.000454549,0.417854,0.0000434173,0.00001052902,0.00008587784,0.0002143525,0.0003285943,0.001561493],"genre_scores_gemma":[0.9880311,0.00008920772,0.01149789,0.000002924983,0.000004281374,0.00003429883,0.00009854168,0.00001412713,0.000227667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003260186,"threshold_uncertainty_score":0.01022059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0271462440747963,"score_gpt":0.295354295377048,"score_spread":0.2682080513022517,"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."}}