{"id":"W2174236127","doi":"10.1115/ipc2012-90482","title":"An Efficient Methodology for the Reliability Analysis of Corroding Pipelines","year":2012,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pipeline transport; Leak; Weighting; Reliability engineering; Robustness (evolution); Reliability (semiconductor); Computer science; Corrosion; Engineering; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001620568,0.0001072725,0.0003600218,0.0001489591,0.00007534378,0.000009309654,0.0002004347,0.0001006645,0.000293581],"category_scores_gemma":[0.0004899096,0.00005994621,0.0003723672,0.0007507158,0.0001044552,0.00006351366,0.00001616377,0.0001115126,0.000002040107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000311957,"about_ca_system_score_gemma":0.000004201726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002739897,"about_ca_topic_score_gemma":0.00009035581,"domain_scores_codex":[0.9991028,0.0001072217,0.0003295661,0.0001300737,0.0001032188,0.0002270746],"domain_scores_gemma":[0.9975399,0.001783009,0.00003944782,0.0004459333,0.0001307475,0.0000609202],"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":[0.00001269076,0.00002773602,0.004675159,0.00003388972,0.0005794994,1.245678e-8,0.0005268751,0.9869676,0.003254812,0.001749911,0.00008596721,0.002085899],"study_design_scores_gemma":[0.00005397812,0.00001489542,0.01791608,0.000001398797,0.001952242,4.268413e-7,0.0007714099,0.9666266,0.0119955,0.0001607745,0.000417683,0.00008903693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5696962,0.0002945109,0.4291735,0.0001061603,0.0003471749,0.0001153556,0.00001620907,0.00006389677,0.0001869791],"genre_scores_gemma":[0.9752017,0.00002533209,0.0245835,0.00003066857,0.00008480178,0.00001494558,0.00001244233,0.000007067923,0.00003951537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4055055,"threshold_uncertainty_score":0.3214507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0659838269125148,"score_gpt":0.3348408564379217,"score_spread":0.2688570295254069,"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."}}