{"id":"W1986572740","doi":"10.1115/ipc2010-31392","title":"Detection and In-Field Verification of Potential Pipeline Expansion Due to Low Yield Strength Pipe in High Strength Line Pipe","year":2010,"lang":"en","type":"article","venue":"2010 8th International Pipeline Conference, Volume 1","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Pipeline (software); Pipeline transport; Computer science; Interim; Engineering; Mechanical engineering; Law","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003085863,0.0002672219,0.0003988234,0.000637643,0.00003895471,0.00006467476,0.0003475112,0.0003585054,0.0009524611],"category_scores_gemma":[0.0006641444,0.0002627727,0.0000866353,0.0004135879,0.00007380726,0.0002847242,0.00008164203,0.0009193326,0.0000335479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006013385,"about_ca_system_score_gemma":0.00004627589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002491838,"about_ca_topic_score_gemma":0.01244002,"domain_scores_codex":[0.9981084,0.00003633384,0.0008169919,0.0004179793,0.0003593165,0.0002610149],"domain_scores_gemma":[0.9988896,0.0001297331,0.0001229188,0.0003264823,0.0004043187,0.0001270087],"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":[0.0005674977,0.0004215022,0.009618726,0.0001821005,0.00008028372,0.00002689476,0.0005232845,0.01942786,0.7784602,0.0006341648,0.0009289346,0.1891286],"study_design_scores_gemma":[0.0008463346,0.0001053548,0.06625231,0.0001620833,0.00003245302,0.00001670611,0.0001856836,0.7523119,0.1781675,0.0009206192,0.0006141523,0.0003848434],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615045,0.00003234132,0.03448303,0.001063911,0.00220588,0.0002254921,0.00007801033,0.00007145486,0.0003354101],"genre_scores_gemma":[0.9973198,0.0001188759,0.001331265,0.0000650726,0.000374108,0.00002460857,0.0001126608,0.00002184043,0.0006318142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7328841,"threshold_uncertainty_score":0.9999825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009085649094782731,"score_gpt":0.225267937742474,"score_spread":0.2161822886476913,"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."}}