{"id":"W4406606349","doi":"10.1016/j.ijpvp.2025.105440","title":"Limit state-based fitness-for-service assessments of steel pipelines containing dent-gouges","year":2025,"lang":"en","type":"article","venue":"International Journal of Pressure Vessels and Piping","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pipeline transport; Forensic engineering; Limit (mathematics); Engineering; Limit state design; Mining engineering; State (computer science); Structural engineering; Geology; Geotechnical engineering; Environmental science; Civil engineering; Materials science; Metallurgy; Nuclear engineering; Mechanical engineering; Computer science; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003836487,0.0008230229,0.0007010177,0.002005762,0.0005711847,0.001076202,0.001140203,0.001144131,0.001122217],"category_scores_gemma":[0.01245001,0.0003965353,0.0007378102,0.000424802,0.001255502,0.001697458,0.001619269,0.0006702949,0.0001533632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001866231,"about_ca_system_score_gemma":0.001550499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008027699,"about_ca_topic_score_gemma":0.007428992,"domain_scores_codex":[0.9981086,0.0007888289,0.00009278354,0.0002209382,0.000634929,0.0001538822],"domain_scores_gemma":[0.9963526,0.001721162,0.0005201023,0.0002418055,0.001032925,0.000131336],"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":[0.00005256404,0.00003130676,0.005477144,0.00004242074,0.00002651735,0.00007443177,0.0001425794,0.9610058,0.003558825,0.008900004,0.0002733526,0.0204151],"study_design_scores_gemma":[0.000003288073,0.00005366363,0.001619058,0.00001091177,0.00000837685,0.00002678363,0.00003637551,0.989944,0.001324142,0.006651932,0.0003052555,0.0000162307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1779809,0.00008465169,0.8184358,0.0001334904,0.0000115654,0.00009911822,0.0001049812,0.0003192641,0.002830281],"genre_scores_gemma":[0.9594467,0.00003585477,0.03960612,0.00001991358,0.000005182244,0.00006957931,0.00009932103,0.00002355804,0.0006938347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008027699,"threshold_uncertainty_score":0.02028948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02082525841754266,"score_gpt":0.3078614853078797,"score_spread":0.287036226890337,"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."}}