{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001719949,0.00031582,0.0002714735,0.001421526,0.0004617803,0.0003455423,0.0007561554,0.0005868353,0.00111751],"category_scores_gemma":[0.002718461,0.0002028212,0.0001989652,0.0005768366,0.0005282324,0.000523362,0.0004985164,0.000471041,0.0003818925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005383521,"about_ca_system_score_gemma":0.0003709072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002260747,"about_ca_topic_score_gemma":0.006297044,"domain_scores_codex":[0.9986002,0.000267521,0.00005692163,0.0002064877,0.0007636919,0.0001052835],"domain_scores_gemma":[0.9974396,0.0007692238,0.0005826961,0.0001795752,0.0009280021,0.0001007525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001246161,0.0003764183,0.2586379,0.0006857137,0.00004774244,0.005681615,0.003435999,0.005722677,0.6135563,0.0008425483,0.002134594,0.1076324],"study_design_scores_gemma":[0.00003262931,0.00467978,0.3397035,0.0001797277,0.00008742513,0.005015976,0.003999712,0.04079707,0.5971169,0.0008027135,0.007467699,0.0001168783],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9517961,0.0003653767,0.0430621,0.000107048,0.00003640978,0.0002421108,0.0002941674,0.0004456902,0.003651024],"genre_scores_gemma":[0.9773677,0.000194911,0.02052766,0.00004387839,0.000008407467,0.00003323689,0.0001603512,0.00002610571,0.001637762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002260747,"threshold_uncertainty_score":0.009096086,"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."}}