{"id":"W2899916071","doi":"10.1115/ipc2018-78299","title":"Quality Assurance for Quenched and Tempered Pipeline Fittings: A Regulator’s Perspective and Plan of Action","year":2018,"lang":"en","type":"article","venue":"Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Energy Regulator","funders":"","keywords":"Pipeline (software); Tempering; Jurisdiction; Engineering; Quality assurance; Quality (philosophy); Forensic engineering; Mechanical engineering; Operations management; Materials science; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004623731,0.0001649563,0.0003736317,0.00006431375,0.0002898192,0.0001570911,0.00003584654,0.0001189638,0.00001445776],"category_scores_gemma":[0.0002983766,0.0001382101,0.00002777472,0.00006301438,0.0002099478,0.0002633642,0.00002886464,0.00007702726,2.852302e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003415468,"about_ca_system_score_gemma":0.00001482695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001117805,"about_ca_topic_score_gemma":0.0001720752,"domain_scores_codex":[0.9990299,0.00004704947,0.0003890686,0.0002781712,0.00007746661,0.0001783223],"domain_scores_gemma":[0.9994307,0.0000689622,0.00007360231,0.0001162652,0.0002452221,0.00006531775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002114684,0.00002137021,0.01479612,0.0009768701,0.0001868811,8.376566e-7,0.008692961,0.000212188,0.9670498,0.002925034,0.0004644119,0.004462027],"study_design_scores_gemma":[0.003907227,0.0007888831,0.2807648,0.001441982,0.0003586659,0.0001022581,0.03830651,0.04078566,0.6239735,0.003874,0.004221756,0.00147466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966114,0.0007743867,0.001512078,0.0002141655,0.0004898621,0.0002223633,0.00008004916,0.00005318625,0.00004252492],"genre_scores_gemma":[0.992584,0.001151977,0.005537045,0.00001319482,0.0004703225,0.00003160085,0.00000926292,0.00001441805,0.0001881755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3430763,"threshold_uncertainty_score":0.5636045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02694903484593354,"score_gpt":0.2913635208330211,"score_spread":0.2644144859870876,"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."}}