{"id":"W2550592442","doi":"10.1115/ipc2016-64460","title":"A Life-Cycle Approach to the Assessment of Pipeline Dents","year":2016,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"Pipeline (software); Pipeline transport; Reliability engineering; Structural integrity; Integrity management; Engineering; Structural engineering; Computer science; Forensic engineering; Mechanical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001342507,0.00006835484,0.0001203306,0.00003497716,0.0000228708,0.000009007807,0.0001855604,0.00004043985,0.00026755],"category_scores_gemma":[0.00008190826,0.00002818429,0.00007613302,0.0001588135,0.0000254519,0.00004036441,0.00003352315,0.00006255608,0.00002976296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002913052,"about_ca_system_score_gemma":0.00001053727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007485657,"about_ca_topic_score_gemma":0.00003113355,"domain_scores_codex":[0.9994764,0.00001738074,0.0001668708,0.00009165759,0.0001404198,0.0001072302],"domain_scores_gemma":[0.9995804,0.0000563373,0.00001161879,0.0002347901,0.00003823142,0.000078558],"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":[0.00003274551,0.0004097665,0.01575544,0.0004338763,0.001289853,0.000001397206,0.001154248,0.6144163,0.05286945,0.04390531,0.1088635,0.1608681],"study_design_scores_gemma":[0.0007743899,0.00006909658,0.05847258,0.00007919332,0.0001815599,0.000006068886,0.0007553748,0.8910387,0.01815229,0.00266852,0.02728227,0.0005199215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4169813,0.0000711813,0.4984246,0.003831581,0.0003176135,0.0002687901,0.00001853136,0.0001742489,0.0799121],"genre_scores_gemma":[0.9937036,0.00001974429,0.005211733,0.0001319775,0.000052804,0.00000953133,0.000001009833,0.000005925292,0.0008636749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5767223,"threshold_uncertainty_score":0.2929485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393646880118602,"score_gpt":0.254040084312194,"score_spread":0.240103615511008,"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."}}