{"id":"W1998259817","doi":"10.1115/omae2007-29164","title":"Spatial Effects in Risk-Based Design and Maintenance of Pipelines","year":2007,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pipeline transport; Reliability (semiconductor); Probabilistic logic; Computer science; Pipeline (software); Reliability engineering; Limit (mathematics); Risk analysis (engineering); Limit state design; Data mining; Engineering; Civil engineering; Artificial intelligence; 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":[0.003060336,0.0005954726,0.0004794704,0.0008026406,0.0004136218,0.0009281942,0.001154066,0.0006524135,0.001313308],"category_scores_gemma":[0.009171143,0.0006705863,0.0005787687,0.000474329,0.001218366,0.001718709,0.001356293,0.000507164,0.0001903551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016904,"about_ca_system_score_gemma":0.0007930717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001970132,"about_ca_topic_score_gemma":0.00306971,"domain_scores_codex":[0.9974537,0.001149029,0.0001287583,0.0002595021,0.0008838293,0.0001251641],"domain_scores_gemma":[0.9956286,0.002388182,0.0007503105,0.0004189518,0.000736711,0.0000772438],"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":[0.00005005144,0.00001442887,0.001370104,0.00006576566,0.00002233858,0.0000819823,0.00011951,0.9559399,0.003261261,0.02184545,0.0000940938,0.01713517],"study_design_scores_gemma":[0.00002368782,0.0002931332,0.002565891,0.00003621194,0.00007364059,0.0001560182,0.000116366,0.9349188,0.006500727,0.05294299,0.00233862,0.00003401787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06678575,0.0005364732,0.9270661,0.0002581818,0.00001468165,0.00003648348,0.00002787398,0.0002054225,0.005069093],"genre_scores_gemma":[0.9201626,0.000374144,0.07770456,0.00003737173,0.00001078652,0.00005718346,0.00002571333,0.00004696114,0.001580641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003060336,"threshold_uncertainty_score":0.01618481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006387222597423393,"score_gpt":0.2116405913193317,"score_spread":0.2052533687219083,"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."}}