{"id":"W2022615486","doi":"10.1115/ipc2002-27277","title":"An Overview of Enbridge’s Pipeline Repair Program","year":2002,"lang":"en","type":"article","venue":"4th International Pipeline Conference, Parts A and B","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Pipeline transport; Process (computing); Engineering; Excavation; Population; Field (mathematics); Transport engineering; Construction engineering; Computer science; Civil engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001329106,0.0001743231,0.0002736775,0.0001217031,0.00003898786,0.00005625087,0.000205938,0.0001013704,0.001949456],"category_scores_gemma":[0.0000597974,0.0001422928,0.0001347124,0.0001388303,0.0001191362,0.0002053599,0.00003128919,0.0001894806,0.00002178792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001870862,"about_ca_system_score_gemma":0.000009048426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009268744,"about_ca_topic_score_gemma":0.00009999261,"domain_scores_codex":[0.9988844,0.00002861444,0.0004438478,0.0002338511,0.0002417176,0.0001676096],"domain_scores_gemma":[0.9992803,0.00003717545,0.00006160033,0.0002203443,0.0002947936,0.000105781],"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":[0.00010541,0.001480637,0.01689979,0.001071692,0.0009061099,0.00005370587,0.002034733,0.01175594,0.004052906,0.07646225,0.09069335,0.7944835],"study_design_scores_gemma":[0.0002691591,0.00007610761,0.001861451,0.00008014901,0.00005237968,0.00001343878,0.00006771267,0.886809,0.0008217029,0.0009260112,0.1088285,0.000194379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8823814,0.00999344,0.008110716,0.003194845,0.002683104,0.0009416454,0.0004024755,0.001895628,0.0903967],"genre_scores_gemma":[0.994173,0.002441214,0.001250751,0.00008727071,0.0002376408,0.0000186475,0.00007594391,0.00001209929,0.001703407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.875053,"threshold_uncertainty_score":0.9989629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0640272021920007,"score_gpt":0.3077422226642675,"score_spread":0.2437150204722668,"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."}}