{"id":"W4391464740","doi":"10.1002/9781119815426.ch4","title":"Mechano‐electrochemical Interaction for Level III Assessment of Corrosion Anomalies on Pipelines – A Single Corrosion Defect","year":2024,"lang":"en","type":"other","venue":"","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Corrosion; Electrochemistry; Pipeline transport; Materials science; Metallurgy; Forensic engineering; Environmental science; Engineering; Chemistry; Environmental engineering; Electrode","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":[0.0001926361,0.0005772741,0.0003862313,0.0004271623,0.0002055395,0.0006042421,0.0006394421,0.0006246637,0.001651257],"category_scores_gemma":[0.0003416975,0.0002424898,0.0005921713,0.0002262095,0.0003660041,0.0006566187,0.0006674954,0.0004947112,0.000417456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004883624,"about_ca_system_score_gemma":0.0004835899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001536167,"about_ca_topic_score_gemma":0.001905031,"domain_scores_codex":[0.9998052,0.00001912548,0.000005980716,0.00003739127,0.0001158535,0.00001650831],"domain_scores_gemma":[0.9998664,0.00003709039,0.00002902078,0.00001841632,0.00004007645,0.000009114506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007272367,0.0001429235,0.006172407,0.0006061459,0.00006018658,0.0004656115,0.00026336,0.5285395,0.2759124,0.0408406,0.002191591,0.1447324],"study_design_scores_gemma":[0.000002767322,0.0000642427,0.001595157,0.00001864581,0.0000123033,0.0001147755,0.00003989182,0.9697178,0.02173728,0.003306381,0.003374776,0.00001588675],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06263181,0.000632671,0.9226013,0.0001550724,0.00004092136,0.00007476028,0.0001332916,0.0005064463,0.01322372],"genre_scores_gemma":[0.8636843,0.0009960042,0.124404,0.00005732739,0.00002566332,0.0001006369,0.0001712655,0.00007688245,0.01048389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001651257,"threshold_uncertainty_score":0.00552398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05387508618823098,"score_gpt":0.3378763629500078,"score_spread":0.2840012767617768,"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."}}