{"id":"W3133922884","doi":"10.1016/j.jpse.2021.02.001","title":"Risk-based pipeline integrity management: A road map for the resilient pipelines","year":2021,"lang":"en","type":"article","venue":"Journal of Pipeline Science and Engineering","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Canada Excellence Research Chairs, Government of Canada; Genome Canada","keywords":"Integrity management; Structural integrity; Risk analysis (engineering); Risk management; Pipeline transport; Data integrity; Pipeline (software); Computer science; Engineering; Business; Computer security","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":[0.01379511,0.00249483,0.001388121,0.007225382,0.002462305,0.01458041,0.005224054,0.008692924,0.007023978],"category_scores_gemma":[0.01940938,0.001001917,0.00129604,0.003196991,0.00932193,0.0278569,0.007628982,0.008684142,0.002691403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005960046,"about_ca_system_score_gemma":0.01215343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008114401,"about_ca_topic_score_gemma":0.004076138,"domain_scores_codex":[0.9951623,0.001862948,0.0004177942,0.0005536134,0.001612357,0.0003910448],"domain_scores_gemma":[0.9800717,0.008140001,0.001315841,0.001518316,0.00702627,0.001927855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001085221,0.000270639,0.002648047,0.001335865,0.00009386155,0.0003016368,0.0008582919,0.03135949,0.0009776388,0.5673978,0.0388842,0.355764],"study_design_scores_gemma":[0.00001880099,0.0001877198,0.001084282,0.002496901,0.00004821153,0.0002659533,0.00206289,0.04453613,0.0009365978,0.6789004,0.2692886,0.0001735564],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008732345,0.1582268,0.4710676,0.3017416,0.0033003,0.0004014332,0.000526675,0.001909881,0.05409334],"genre_scores_gemma":[0.2740262,0.2295275,0.4621483,0.0119912,0.004709879,0.000775515,0.001181273,0.0004802404,0.01515994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01458041,"threshold_uncertainty_score":0.07295638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153214651589894,"score_gpt":0.244059838063249,"score_spread":0.2325276915473501,"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."}}