{"id":"W2221141966","doi":"10.1115/pvp2015-45630","title":"Optimization of NDE Reexamination Locations and Intervals for Grade 91 Piping System Girth Welds","year":2015,"lang":"en","type":"article","venue":"","topic":"High Temperature Alloys and Creep","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Capital Power (Canada)","funders":"","keywords":"Piping; Girth (graph theory); Welding; Structural engineering; Creep; Stress (linguistics); Engineering; Nuclear engineering; Materials science; Mathematics; Mechanical engineering; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001865356,0.0006697343,0.0006969928,0.001507554,0.0006616896,0.000816188,0.001049459,0.0003956819,0.003216467],"category_scores_gemma":[0.004635848,0.000451194,0.0003294258,0.0004222353,0.0002531605,0.0007527252,0.0007017296,0.0004671312,0.000749344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020856,"about_ca_system_score_gemma":0.001074499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005089609,"about_ca_topic_score_gemma":0.01011188,"domain_scores_codex":[0.9992849,0.0001122578,0.00007325412,0.0001955844,0.0002269459,0.0001070323],"domain_scores_gemma":[0.9977534,0.0005772233,0.0004050836,0.0002386525,0.0008591214,0.0001664328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002639172,0.001379869,0.05535595,0.0009486886,0.00008078547,0.0004174433,0.001526252,0.1390478,0.4096106,0.001416441,0.002705305,0.3848716],"study_design_scores_gemma":[0.0003312783,0.006286439,0.2027929,0.000256014,0.000305661,0.0003923413,0.002565061,0.1858399,0.5777397,0.0007316697,0.02257368,0.0001853215],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8640508,0.001100995,0.1216523,0.0002256126,0.00005483918,0.0007626686,0.000442144,0.00249959,0.009211],"genre_scores_gemma":[0.9433734,0.0001460506,0.05332899,0.00003350379,0.000004113978,0.0001563256,0.0003044566,0.0001440769,0.002509037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005089609,"threshold_uncertainty_score":0.01076019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736442367915892,"score_gpt":0.2218093849525313,"score_spread":0.2044449612733724,"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."}}