{"id":"W2010659871","doi":"10.5339/qfarf.2012.eep86","title":"Forecasting breaks of oil and gas pipelines","year":2012,"lang":"en","type":"article","venue":"Qatar Foundation Annual Research Forum Volume 2012 Issue 1","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Pipeline transport; Pipeline (software); Damages; Petroleum engineering; Petroleum; Hazardous waste; Petroleum industry; Corrosion; Forensic engineering; Natural gas; Petroleum product; Fossil fuel; Fuzzy logic; Environmental science; Engineering; Computer science; Risk analysis (engineering); Waste management; Environmental engineering; Geology; Mechanical engineering; Business; Artificial intelligence","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":[0.0003166119,0.000440462,0.000322697,0.001043634,0.0002406892,0.000452825,0.0003548595,0.0007812332,0.0006462378],"category_scores_gemma":[0.001809687,0.0002282184,0.0003755798,0.0004193126,0.0001416543,0.0005475166,0.0002244039,0.0003940696,0.0001414769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009101046,"about_ca_system_score_gemma":0.0003576891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03306231,"about_ca_topic_score_gemma":0.0255776,"domain_scores_codex":[0.9998318,0.00002716861,0.00001030403,0.00004167361,0.00005903019,0.00003003585],"domain_scores_gemma":[0.9994683,0.000187982,0.0001462055,0.0000275385,0.0001271943,0.00004283713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001320269,0.00004803885,0.05045259,0.00003264532,0.0000389206,0.0002518681,0.00007747854,0.9290904,0.003134181,0.0004008892,0.0005646878,0.0157763],"study_design_scores_gemma":[0.000002228574,0.00003957596,0.01523299,0.000003937445,0.000007199451,0.00002492996,0.00004710871,0.9834777,0.0008285301,0.0001576199,0.0001726236,0.000005537659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817785,0.000119323,0.01608997,0.0001087201,0.00001212024,0.00002478057,0.0004617072,0.0001729964,0.00123196],"genre_scores_gemma":[0.9977443,0.00003883717,0.001708562,0.000002873206,0.000001931344,0.000004361064,0.0001927662,0.000002292765,0.0003040689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03306231,"threshold_uncertainty_score":0.06573975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04582366310366809,"score_gpt":0.3274711430722277,"score_spread":0.2816474799685596,"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."}}