{"id":"W1967948556","doi":"10.1115/ipc2010-31167","title":"Guidance for Selecting SCC Direct Assessment Locations and Estimation of Re-Inspection Intervals","year":2010,"lang":"en","type":"article","venue":"2010 8th International Pipeline Conference, Volume 1","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Stress corrosion cracking; Computer science; Pipeline transport; Field (mathematics); Forensic engineering; Data mining; Engineering; Data science; Corrosion; Mechanical engineering; Mathematics","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":[0.0004291414,0.0001396452,0.000187179,0.0001385519,0.00007753869,0.00007133644,0.000171248,0.00008938277,0.0003539688],"category_scores_gemma":[0.000526489,0.0001466848,0.00006026123,0.000103868,0.00006976265,0.0002315858,0.00004103786,0.0002268231,0.000008970957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005743687,"about_ca_system_score_gemma":0.00006584755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007969992,"about_ca_topic_score_gemma":0.0003398703,"domain_scores_codex":[0.9989771,0.00001849678,0.0004590507,0.000229176,0.0001815502,0.0001346093],"domain_scores_gemma":[0.9988784,0.0001359705,0.0001257636,0.0001967645,0.0005977392,0.0000654191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001842095,0.0003338399,0.09937195,0.0008405786,0.0002275282,0.000001314108,0.001610055,0.02506663,0.4971602,0.02998709,0.06538249,0.2798342],"study_design_scores_gemma":[0.0003522624,0.00003418673,0.02363727,0.00005829835,0.00001639158,0.000003141322,0.00005754801,0.9612947,0.006899518,0.0006347191,0.006864763,0.0001472716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3401845,0.00003998796,0.6428307,0.0008605976,0.003264427,0.0004344457,0.0001243328,0.0003356268,0.01192532],"genre_scores_gemma":[0.979488,0.00001969968,0.01907078,0.00003089879,0.0001742791,0.00007184906,0.00008973663,0.00001782272,0.001036897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.936228,"threshold_uncertainty_score":0.5981632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895077468008845,"score_gpt":0.2926570636902894,"score_spread":0.273706289010201,"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."}}