{"id":"W1973163126","doi":"10.1115/ipc2010-31007","title":"Frequency Dependence of Fatigue and Corrosion Fatigue Crack Growth Rate","year":2010,"lang":"en","type":"article","venue":"2010 8th International Pipeline Conference, Volume 1","topic":"Material Properties and Failure Mechanisms","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spectra Energy (Canada); TransCanada (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Transportation","keywords":"Paris' law; Materials science; Corrosion fatigue; Corrosion; Crack closure; Growth rate; Hydrogen; Pipeline transport; Metallurgy; Creep; Composite material; Fracture mechanics; Environmental science; Chemistry","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":[0.000423908,0.0002595467,0.0003060274,0.0005946757,0.0001327792,0.0001737327,0.0002607084,0.0005543513,0.00318761],"category_scores_gemma":[0.002355364,0.0002189444,0.0001749517,0.0003087728,0.0002212324,0.0003526162,0.000151149,0.0003821505,0.000795241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002033486,"about_ca_system_score_gemma":0.00009721177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001668324,"about_ca_topic_score_gemma":0.001650387,"domain_scores_codex":[0.9993944,0.00005069458,0.00003315892,0.0001310393,0.0002951935,0.00009546295],"domain_scores_gemma":[0.9967484,0.001222573,0.0003604357,0.0002611168,0.001315005,0.00009244826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003067128,0.00003486678,0.006447959,0.0001145273,0.00001502612,0.00009682954,0.000122447,0.001570158,0.9813721,0.00005642439,0.0001408367,0.009722079],"study_design_scores_gemma":[0.00001311731,0.001334518,0.1065542,0.00002319995,0.00002986145,0.0006097151,0.0001459474,0.01228296,0.8767402,0.0000657623,0.002158235,0.00004218463],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932665,0.0006182551,0.003707389,0.00004485066,0.00001208529,0.00002307886,0.0004929568,0.000135355,0.001699633],"genre_scores_gemma":[0.9965051,0.0002427129,0.001281129,0.00001375449,0.000008605525,0.0000177238,0.0004688364,0.00002460626,0.001437609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00318761,"threshold_uncertainty_score":0.01066357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02896129703666424,"score_gpt":0.2549106734377085,"score_spread":0.2259493764010443,"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."}}