{"id":"W2050541361","doi":"10.1115/ipc2010-31585","title":"Guidelines to Conducting Threat Susceptibility and Identification Assessments of Pipelines Prior to Reactivation","year":2010,"lang":"en","type":"article","venue":"2010 8th International Pipeline Conference, Volume 1","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Energy Regulator","funders":"","keywords":"Identification (biology); Risk analysis (engineering); Pipeline (software); Pipeline transport; Process (computing); Hazard; Hazard analysis; Computer science; Computer security; Population; Engineering; Reliability 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":[0.0006017008,0.0002150868,0.0002982597,0.0003002945,0.00007256522,0.0001140231,0.0003677262,0.0001661622,0.0006835478],"category_scores_gemma":[0.001509361,0.0001974515,0.00008119297,0.0002841739,0.00008087333,0.000368289,0.0001026575,0.0003615235,0.00005936762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005347712,"about_ca_system_score_gemma":0.00004618109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006806163,"about_ca_topic_score_gemma":0.001104569,"domain_scores_codex":[0.9981271,0.0000267529,0.0008676806,0.0004025227,0.0003898217,0.0001860982],"domain_scores_gemma":[0.9972404,0.00008640531,0.0001459469,0.0003752245,0.002000912,0.0001511659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000584505,0.0000617465,0.02627332,0.00007783185,0.0001065901,6.776264e-7,0.0003869218,0.002631695,0.8848141,0.001321477,0.009506649,0.07476058],"study_design_scores_gemma":[0.0007719384,0.000112432,0.2012009,0.0001931672,0.0001431776,0.00002072434,0.001013264,0.589299,0.1802987,0.004246026,0.02179967,0.000901037],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557992,0.00001334557,0.03731175,0.00297622,0.002455625,0.0003179895,0.00009844253,0.0001102674,0.0009171322],"genre_scores_gemma":[0.9824471,0.00002491955,0.01370492,0.0001118319,0.0004210004,0.00002547942,0.0001157391,0.00001901191,0.00312996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7045153,"threshold_uncertainty_score":0.8051839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06834374446851403,"score_gpt":0.3466335582133774,"score_spread":0.2782898137448634,"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."}}