{"id":"W4312707451","doi":"10.1115/pvp2022-80320","title":"Fatigue Crack Growth Assessment of Pipeline Steels and Girth Welds","year":2022,"lang":"en","type":"article","venue":"","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Paris' law; Materials science; Girth (graph theory); Welding; Pipeline (software); Structural engineering; Austenitic stainless steel; Austenite; Metallurgy; Crack closure; Fracture mechanics; Engineering; Composite material; Mechanical engineering; Mathematics; Corrosion; Microstructure","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":[0.0004745678,0.0004019593,0.0002894568,0.001324651,0.0001795708,0.0001247505,0.0003814151,0.0003888686,0.002032084],"category_scores_gemma":[0.0008040316,0.0002664591,0.0001921088,0.0003869748,0.00021585,0.0002354171,0.0002424225,0.0001742522,0.0003026558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002634176,"about_ca_system_score_gemma":0.0001557631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003587716,"about_ca_topic_score_gemma":0.008842356,"domain_scores_codex":[0.9997188,0.00002689731,0.00001656101,0.0000600897,0.000151366,0.00002622469],"domain_scores_gemma":[0.9992806,0.00009479657,0.00009308173,0.00007147763,0.0004127244,0.00004732481],"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":[0.00008901017,0.00001626657,0.004462445,0.0001051123,0.000006844261,0.00008445529,0.0001915398,0.001019382,0.9874051,0.00002823512,0.00005249312,0.00653922],"study_design_scores_gemma":[0.00001349728,0.00167261,0.244821,0.00002911775,0.0000414229,0.0004918568,0.0002466286,0.01347267,0.7371737,0.00005567477,0.001947927,0.000033923],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932173,0.0002721037,0.005200783,0.000006841052,0.000004879074,0.00003471006,0.0002579648,0.0001275278,0.0008779856],"genre_scores_gemma":[0.9943144,0.0001290496,0.003825186,0.000005630342,0.000001731593,0.0000145579,0.0003318774,0.00002641415,0.001351127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003587716,"threshold_uncertainty_score":0.007133663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270897307890994,"score_gpt":0.237912512203823,"score_spread":0.225203539124913,"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."}}