{"id":"W4399564887","doi":"10.1016/j.engfailanal.2024.108553","title":"Finite element analyses of burst capacities of corroded pipelines containing pinhole-in-corrosion defects","year":2024,"lang":"en","type":"article","venue":"Engineering Failure Analysis","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Western University","keywords":"Corrosion; Pinhole (optics); Finite element method; Materials science; Pipeline transport; Forensic engineering; Structural engineering; Metallurgy; Composite material; Engineering; Mechanical engineering; Optics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.0003010637,0.0003000244,0.0008773842,0.001701012,0.00002487719,0.00003891584,0.0002043491,0.0001600066,0.0001461879],"category_scores_gemma":[0.0001594686,0.0002657088,0.0007227574,0.00334352,0.00007359662,0.0001665405,0.00003346426,0.0003465889,0.000004277969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001120705,"about_ca_system_score_gemma":0.00001984258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005893324,"about_ca_topic_score_gemma":0.0006279832,"domain_scores_codex":[0.9982554,0.0000326525,0.0008101452,0.0002939161,0.0003097212,0.000298188],"domain_scores_gemma":[0.9990763,0.0003236234,0.00006656289,0.0003501408,0.0001158907,0.00006746377],"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":[0.000005691641,0.00001146025,0.002289474,0.0006212084,0.0011808,0.00001064881,0.0007287858,0.9534566,0.04122515,0.0002549781,0.00003603949,0.000179197],"study_design_scores_gemma":[0.0001220241,0.00003900928,0.001406452,0.0003174427,0.002011684,0.000001585438,0.0008596815,0.9309328,0.06376991,0.00004925401,0.0002271855,0.000262979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8610364,0.004585855,0.1334824,0.00005993106,0.0002730583,0.0001113108,0.0000752256,0.0002680724,0.0001076882],"genre_scores_gemma":[0.9978478,0.0002036106,0.001726656,0.000004351573,0.00005861495,0.00001313553,0.00007611186,0.00002996598,0.00003976577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1368113,"threshold_uncertainty_score":0.9999795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493522415736839,"score_gpt":0.2520274592522287,"score_spread":0.2370922350948604,"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."}}