{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005460596,0.0002120756,0.0003079669,0.000229472,0.0000626362,0.00005989267,0.0005698907,0.0001832286,0.0006483627],"category_scores_gemma":[0.0001706575,0.000197014,0.00004767786,0.0002753382,0.0001522216,0.0007074752,0.0002258249,0.0008871026,0.00002715849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007215347,"about_ca_system_score_gemma":0.00002773398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006505279,"about_ca_topic_score_gemma":0.001199491,"domain_scores_codex":[0.9983556,0.00002764813,0.0007143811,0.000376873,0.0003291083,0.0001964436],"domain_scores_gemma":[0.998921,0.00005412606,0.0001287128,0.0004958572,0.000343926,0.0000564116],"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":[0.001185284,0.0009674546,0.3810915,0.002121317,0.001109778,0.00003349482,0.002553108,0.08993574,0.03782776,0.04075562,0.02883007,0.4135889],"study_design_scores_gemma":[0.0006156895,0.00001772505,0.04134105,0.0001005159,0.00004552469,0.0000124673,0.0001452618,0.9404308,0.003935052,0.0008170768,0.01231937,0.0002194585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8915748,0.00006716369,0.08688744,0.001191858,0.003660165,0.0004077449,0.0003543795,0.0001950703,0.01566137],"genre_scores_gemma":[0.9920312,0.000934103,0.004601254,0.00003684888,0.0002675792,0.000008937466,0.0008827012,0.00001575905,0.001221625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.850495,"threshold_uncertainty_score":0.8033997,"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."}}