{"id":"W4252017510","doi":"10.3221/igf-esis.42.9","title":"Fatigue crack propagation prediction of a pressure vessel mild steel based on a strain energy density model","year":2017,"lang":"en","type":"article","venue":"Frattura ed Integrità Strutturale","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Strain energy density function; Materials science; Fracture mechanics; Structural engineering; Paris' law; Strain (injury); Crack closure; Strain energy; Stress (linguistics); Pressure vessel; Strain energy release rate; Mechanics; Composite material; Finite element method; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001479781,0.0003397379,0.0003574566,0.0001123465,0.0002356292,0.0001181837,0.0004280306,0.0003436338,0.00005364733],"category_scores_gemma":[0.000151265,0.0002922299,0.0001350441,0.00007950373,0.00007447757,0.0004608406,0.00003673997,0.0005208551,0.000005148072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006325934,"about_ca_system_score_gemma":0.00005572144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008491467,"about_ca_topic_score_gemma":0.00004118336,"domain_scores_codex":[0.9985262,0.00004214667,0.0003951915,0.000338823,0.000388658,0.0003090129],"domain_scores_gemma":[0.9985472,0.0000542835,0.0002119734,0.0008623375,0.0002177541,0.0001064413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002209669,0.0002435993,0.0007491863,0.000842986,0.0003208387,0.00001280676,0.0008445614,0.7088866,0.2207044,0.008139824,0.04022824,0.01880594],"study_design_scores_gemma":[0.0005654307,0.0001315179,0.003100247,0.0002285262,0.00005950375,0.000001638452,0.0000553483,0.8899807,0.1040145,0.0007700319,0.0008551257,0.0002374049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3283485,0.000668999,0.6546865,0.0008140678,0.003492017,0.00125353,0.002144089,0.0009397254,0.007652579],"genre_scores_gemma":[0.9967867,0.00003627733,0.002318077,0.00009022466,0.0002040807,0.00004296312,0.0002200528,0.00004961057,0.0002520481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6684381,"threshold_uncertainty_score":0.999953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02532950735362954,"score_gpt":0.2334225439845652,"score_spread":0.2080930366309357,"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."}}