{"id":"W2029909137","doi":"10.1115/ipc2010-31630","title":"Case for Continuous Reassessment of Risk in Managing Pipeline Integrity","year":2010,"lang":"en","type":"article","venue":"","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dynamic Systems Analysis (Canada)","funders":"","keywords":"Integrity management; Pipeline (software); Risk analysis (engineering); Risk assessment; Risk management; Process (computing); Computer science; Data integrity; Business; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001896509,0.00008307966,0.0001442527,0.000119482,0.000009699726,0.000006941608,0.00007948916,0.00008349319,0.00001058848],"category_scores_gemma":[0.0001284422,0.00007453275,0.00003220979,0.00009255917,0.00001739495,0.00003459874,0.0000190095,0.0003419318,0.0000010214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001307665,"about_ca_system_score_gemma":0.000003427203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001672831,"about_ca_topic_score_gemma":0.0006257354,"domain_scores_codex":[0.9995749,0.000002583169,0.0001670306,0.00008245255,0.00003655298,0.0001364691],"domain_scores_gemma":[0.9996595,0.0001032139,0.00001526924,0.0001820375,0.00002179547,0.00001817903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002177295,0.0001466792,0.01860631,0.000514814,0.00007583305,0.0004160821,0.0004076151,0.01962654,0.01171276,0.03525063,0.002901908,0.9103191],"study_design_scores_gemma":[0.00163085,0.00009326002,0.008277697,0.00008126179,0.0000508081,0.0004167541,0.001806583,0.8932695,0.08013163,0.008435447,0.005169263,0.0006368959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8845075,0.00004546661,0.1126094,0.00003394251,0.0003182972,0.0001198308,0.00001612719,0.0005485204,0.001800839],"genre_scores_gemma":[0.9656907,0.00002539277,0.03419216,0.000001350518,0.00002326367,0.00001937308,0.000002336751,0.00001428188,0.00003113749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9096822,"threshold_uncertainty_score":0.3039357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00933946990857421,"score_gpt":0.2358147155422638,"score_spread":0.2264752456336896,"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."}}