{"id":"W2328414684","doi":"10.1115/ipc2010-31419","title":"Balancing Pipeline Safety and Cost Integrity Management Through Performance Validation of In-Line Inspection Data","year":2010,"lang":"en","type":"article","venue":"2010 8th International Pipeline Conference, Volume 1","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Conservatism; Pipeline (software); Risk analysis (engineering); Computer science; Engineering; Forensic engineering; Business","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":[0.03999335,0.001234313,0.000825184,0.001413344,0.0006369174,0.002271126,0.001837027,0.001443874,0.0006131579],"category_scores_gemma":[0.1481607,0.0004455778,0.0004997291,0.001120075,0.001024611,0.002716615,0.001321896,0.001011604,0.0003791862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002046476,"about_ca_system_score_gemma":0.001825571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003226679,"about_ca_topic_score_gemma":0.00212929,"domain_scores_codex":[0.9655554,0.02176231,0.00240469,0.002115092,0.007203361,0.0009590948],"domain_scores_gemma":[0.8223614,0.09743028,0.02507143,0.02402618,0.03030467,0.0008058899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002995087,0.001645428,0.2198872,0.0004757851,0.0005387535,0.0003158002,0.001664532,0.507507,0.06872472,0.003451746,0.00146669,0.1913273],"study_design_scores_gemma":[0.0001428767,0.002447054,0.0803897,0.0001071627,0.000154631,0.000323183,0.0003372614,0.8155823,0.09633698,0.002061327,0.00198771,0.0001297433],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7858323,0.0001362097,0.2099867,0.0003916323,0.00003622992,0.0002936103,0.0003194254,0.001066089,0.001937694],"genre_scores_gemma":[0.9718769,0.00002388287,0.02750032,0.0000315486,0.000007782732,0.00005486544,0.0002710019,0.00004381223,0.0001899318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03999335,"threshold_uncertainty_score":0.2115076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03073625767360822,"score_gpt":0.2730941646065949,"score_spread":0.2423579069329866,"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."}}