{"id":"W3128604348","doi":"10.3390/civileng2010006","title":"An Integrated Approach for Failure Analysis of Natural Gas Transmission Pipeline","year":2021,"lang":"en","type":"article","venue":"CivilEng","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pipeline (software); Analytic hierarchy process; Risk analysis (engineering); Computer science; Rank (graph theory); Rough set; Reliability engineering; Process (computing); Hierarchy; Operations research; Data mining; Engineering; Business; Mathematics","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":[0.0008549482,0.00101448,0.0007748064,0.003821425,0.0005102268,0.001295021,0.0007172631,0.0006373904,0.002893087],"category_scores_gemma":[0.001727131,0.0003541335,0.001544712,0.001804063,0.0003514435,0.001206554,0.001042267,0.000589185,0.0002636432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008781575,"about_ca_system_score_gemma":0.001523272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008248825,"about_ca_topic_score_gemma":0.008297015,"domain_scores_codex":[0.9990385,0.0002408315,0.00005960571,0.0001702442,0.000404034,0.00008684084],"domain_scores_gemma":[0.9995945,0.0001306477,0.00007321877,0.00002595817,0.0001524368,0.00002335956],"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":[0.0001230224,0.0001876535,0.009348727,0.0004517826,0.0004265184,0.0004096932,0.0005796552,0.7116503,0.01154586,0.02965086,0.001245161,0.2343808],"study_design_scores_gemma":[0.000006441545,0.00007606556,0.0023049,0.00002266594,0.00007797188,0.00005728843,0.0001445274,0.9847289,0.0007712903,0.01039319,0.001399397,0.00001748767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02812681,0.0003356218,0.968175,0.00007169576,0.00001814354,0.00008758809,0.0001481788,0.0002036127,0.002833356],"genre_scores_gemma":[0.6620499,0.0006632335,0.3324007,0.00004000635,0.00004126133,0.0003081388,0.0005950881,0.00004196454,0.00385954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008248825,"threshold_uncertainty_score":0.01640165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04645710278771242,"score_gpt":0.3521837313888155,"score_spread":0.3057266286011031,"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."}}