{"id":"W2900448956","doi":"10.1115/ipc2018-78352","title":"Methodologies for Establishing the Probability of Pipeline Failure at Slope Crossings","year":2018,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Probabilistic logic; Pipeline transport; Reliability (semiconductor); Pipeline (software); Computer science; Reliability engineering; Engineering; Forensic engineering; Geotechnical engineering; Risk analysis (engineering); Data mining; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00987039,0.001495772,0.00114946,0.009553924,0.0006541203,0.002230372,0.002803411,0.001447894,0.003437736],"category_scores_gemma":[0.03950286,0.0007148546,0.001760554,0.003134859,0.001162858,0.002037908,0.00164251,0.00133671,0.0005624404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513023,"about_ca_system_score_gemma":0.001898941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005199742,"about_ca_topic_score_gemma":0.004244387,"domain_scores_codex":[0.9931379,0.002166761,0.0007153989,0.001213719,0.002438877,0.000327327],"domain_scores_gemma":[0.9605823,0.02687302,0.006641117,0.00107415,0.00439084,0.0004385757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001507074,0.0001832513,0.03856566,0.000744372,0.0003344638,0.0003348789,0.0006063392,0.8032272,0.00446449,0.02617205,0.001095288,0.1241213],"study_design_scores_gemma":[0.00001571501,0.0001887038,0.00983428,0.0001332286,0.00007055468,0.0002547517,0.0004009156,0.9665468,0.002003678,0.01896215,0.001512633,0.00007672732],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03262231,0.0003413006,0.9629942,0.0001017869,0.00002862329,0.0004076156,0.0006251146,0.0002955413,0.002583459],"genre_scores_gemma":[0.5427313,0.0005485092,0.4532727,0.00005891617,0.0000800293,0.0007851917,0.001196328,0.00006126429,0.00126569],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00987039,"threshold_uncertainty_score":0.05220026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05342813102305436,"score_gpt":0.2987733420380211,"score_spread":0.2453452110149668,"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."}}