{"id":"W2015127695","doi":"10.1115/ipc2004-0100","title":"Inline Inspection Decisions and Results Using an Integrated Technology for a Baseline Inspection Program on a Large Diameter High Pressure Gas Transmission and Interconnect System","year":2004,"lang":"en","type":"article","venue":"2004 International Pipeline Conference, Volumes 1, 2, and 3","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petroleum Technology Alliance Canada; Canadian Food Inspection Agency","funders":"","keywords":"Pipeline (software); Vendor; Pipeline transport; Engineering; Transmission (telecommunications); Interconnection; Reliability engineering; Computer science; Electrical engineering; Mechanical engineering; Telecommunications","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":[0.0003060778,0.0002718649,0.0003371626,0.0005280907,0.000204637,0.0001547487,0.0001273072,0.0002978516,0.00001182789],"category_scores_gemma":[0.0003235322,0.0002194601,0.00006729631,0.0002845018,0.0001425906,0.000302671,0.00003338457,0.0003710526,0.000001099945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001159621,"about_ca_system_score_gemma":0.00003533882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004258335,"about_ca_topic_score_gemma":0.0007115325,"domain_scores_codex":[0.9985409,0.00004210406,0.0005493523,0.0004776788,0.0001692966,0.0002206924],"domain_scores_gemma":[0.9990968,0.00008918158,0.0000927896,0.0001691376,0.0004348631,0.0001172853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002644448,0.001533795,0.001084261,0.00075686,0.00107028,0.00002954833,0.002325843,0.06535064,0.01161022,0.03073968,0.000602759,0.8822517],"study_design_scores_gemma":[0.002417544,0.0004707527,0.0004882106,0.0006278252,0.000143432,0.00007751167,0.0009017842,0.9837729,0.001452452,0.002493549,0.006880747,0.0002732472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.708313,0.0005874421,0.2883112,0.0007550979,0.0004223686,0.0005180701,0.0003930016,0.0006279377,0.0000718246],"genre_scores_gemma":[0.9849885,0.0005741721,0.01376235,0.00002867276,0.0001978469,0.00004631712,0.0003137894,0.00002403653,0.00006436135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9184223,"threshold_uncertainty_score":0.8949324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805153272454715,"score_gpt":0.2651401605439905,"score_spread":0.2470886278194433,"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."}}