{"id":"W184621335","doi":"10.5006/c2007-07686","title":"Assessing Pipeline Vulnerability to Telluric Currents","year":2007,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Pipeline (software); Vulnerability (computing); Petroleum engineering; Geology; Vulnerability assessment; Computer science; Environmental science; Forensic engineering; Marine engineering; Engineering; Mechanical engineering; Computer security","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":[0.0005852512,0.0004727719,0.0004024768,0.001212743,0.0002884491,0.0004452114,0.0003710698,0.0004755748,0.001118088],"category_scores_gemma":[0.00278076,0.0001969654,0.0003636457,0.0006696443,0.0002679313,0.00074062,0.0005993279,0.0002252863,0.0001823609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006171103,"about_ca_system_score_gemma":0.0002935581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004789656,"about_ca_topic_score_gemma":0.00390558,"domain_scores_codex":[0.9995716,0.0001249178,0.00001919054,0.00006809818,0.000170507,0.00004568156],"domain_scores_gemma":[0.9986971,0.0006197585,0.000224074,0.0001120557,0.0002895337,0.00005753792],"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":[0.0006691391,0.0001052557,0.1300557,0.0001975007,0.0001966373,0.0004106888,0.0002601075,0.6923043,0.1270709,0.001326063,0.0003455401,0.04705825],"study_design_scores_gemma":[0.00002739747,0.0009936308,0.06025058,0.00001576174,0.0000951949,0.0001732242,0.0002349827,0.8500226,0.08586189,0.00174845,0.000522105,0.00005421683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710019,0.00006309697,0.02715428,0.00002487034,0.000004164094,0.00003096501,0.0002016563,0.0001397272,0.001379282],"genre_scores_gemma":[0.9981716,0.00001996238,0.001569175,0.000001728768,8.247123e-7,0.00000547502,0.00006453707,0.000004214301,0.0001624349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004789656,"threshold_uncertainty_score":0.009523571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02588817642676019,"score_gpt":0.3151335559137415,"score_spread":0.2892453794869814,"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."}}