{"id":"W2557421639","doi":"10.1115/pvp2016-63306","title":"Application of Numerical Modeling for Predicting the Fatigue Crack Growth of an Elliptical Crack in Kelly Valves","year":2016,"lang":"en","type":"article","venue":"","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Workbench; Structural engineering; Python (programming language); Paris' law; Fracture mechanics; Fatigue testing; Finite element method; Computer science; Engineering; Mechanical engineering; Crack closure","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":[0.0004815981,0.0003941615,0.0003848119,0.0004732386,0.0004551339,0.0007247771,0.000613144,0.001105173,0.0007220846],"category_scores_gemma":[0.001637438,0.0003092982,0.0004584778,0.0002827653,0.0004093274,0.000430624,0.0003469371,0.0003943216,0.0001977719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005903699,"about_ca_system_score_gemma":0.0009332925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01275868,"about_ca_topic_score_gemma":0.006753234,"domain_scores_codex":[0.9998535,0.0000260884,0.00001457713,0.00002393153,0.00006096716,0.00002090592],"domain_scores_gemma":[0.9993904,0.0002883364,0.00007554563,0.00005479508,0.0001589594,0.0000320787],"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":[0.0000279815,0.00003226655,0.002091943,0.00002995382,0.000004488655,0.00009324365,0.00007039676,0.9790677,0.01194351,0.0009465929,0.0001526246,0.005539341],"study_design_scores_gemma":[0.000001108347,0.000007777677,0.0001528362,0.000001807313,9.317005e-7,0.000008999826,0.000005984312,0.9987438,0.0009316948,0.00004777855,0.00009470444,0.000002622923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7207094,0.0003667408,0.2659996,0.0002482707,0.00009336398,0.0001144969,0.0002779545,0.001281301,0.01090884],"genre_scores_gemma":[0.9754434,0.00009369757,0.02333018,0.00001022873,0.000006655418,0.00003938975,0.00006662134,0.0000348693,0.0009750336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01275868,"threshold_uncertainty_score":0.02536881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452723975023723,"score_gpt":0.2333571580436125,"score_spread":0.2188299182933753,"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."}}