{"id":"W4312889130","doi":"10.1115/ipc2022-87778","title":"Guidelines to Develop Fitness-for-Service Assessment of Exposed Pipeline Due to Flood Events: Investigation, Assessment and Mitigation","year":2022,"lang":"en","type":"article","venue":"Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransAlta (Canada)","funders":"","keywords":"Pipeline (software); Flood myth; Pipeline transport; Environmental science; Event (particle physics); Engineering; Forensic engineering; Environmental engineering; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.03585444,0.002567577,0.00114309,0.01351378,0.002672132,0.004009695,0.006989467,0.005047842,0.01029048],"category_scores_gemma":[0.05945035,0.001265673,0.00161318,0.003663393,0.002318361,0.003174197,0.003723044,0.003423454,0.01272403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003695901,"about_ca_system_score_gemma":0.02294333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03070168,"about_ca_topic_score_gemma":0.05775741,"domain_scores_codex":[0.9738654,0.008970693,0.004622426,0.0006435623,0.01084345,0.001054505],"domain_scores_gemma":[0.8796695,0.0180446,0.007751448,0.004426194,0.08725228,0.00285598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001872468,0.001970475,0.02649912,0.002657107,0.00007302675,0.002964098,0.006066658,0.01988618,0.02448639,0.01741904,0.3896402,0.5081504],"study_design_scores_gemma":[0.0001090469,0.001354409,0.04303978,0.007804671,0.00008910111,0.002092525,0.009703482,0.01981746,0.01759409,0.01524432,0.8827673,0.0003838066],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03249378,0.006454664,0.6344818,0.03189783,0.002057629,0.04769321,0.0090059,0.008914418,0.2270008],"genre_scores_gemma":[0.0790126,0.007184084,0.826429,0.004213226,0.0004659801,0.01540271,0.005804282,0.0008190664,0.06066901],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03585444,"threshold_uncertainty_score":0.1896187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03017303234665542,"score_gpt":0.2998815927172526,"score_spread":0.2697085603705972,"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."}}