{"id":"W3123004918","doi":"10.1115/ipc2020-9580","title":"Application of Noise Filtering Techniques for the Quantification of Uncertainty in Dent Strain Calculations","year":2020,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Calipers; Noise (video); Pipeline (software); Fast Fourier transform; Computer science; Curvature; Finite element method; Deformation (meteorology); Pipeline transport; Acoustics; Structural engineering; Engineering; Algorithm; Geology; Mathematics; Artificial intelligence; Mechanical engineering; Geometry; Image (mathematics)","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":[0.00232777,0.0009778524,0.0005886716,0.002770904,0.0005731122,0.0009520802,0.000630466,0.001109795,0.001564311],"category_scores_gemma":[0.00725402,0.0004187348,0.001046331,0.001400692,0.0004585389,0.0008703769,0.0006964038,0.0008374681,0.0004624614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005467466,"about_ca_system_score_gemma":0.0008688411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004227804,"about_ca_topic_score_gemma":0.004708591,"domain_scores_codex":[0.9988294,0.0001986347,0.0001039105,0.0001627113,0.0006415198,0.00006373545],"domain_scores_gemma":[0.9958864,0.002295636,0.0004722918,0.0003770266,0.0009106545,0.00005794434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003774274,0.0002627237,0.006031747,0.00029102,0.0001594053,0.0004156382,0.000471561,0.2330038,0.08847367,0.007996557,0.001306554,0.6612098],"study_design_scores_gemma":[0.000009515438,0.00008828843,0.00524722,0.00003337579,0.00003179551,0.0001511364,0.00004752459,0.9600544,0.03108642,0.001340224,0.001868673,0.00004144212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02768177,0.0001161477,0.9707658,0.00005931195,0.00003764471,0.00004375112,0.00006639394,0.0005322807,0.0006967806],"genre_scores_gemma":[0.2665813,0.0002754655,0.7310026,0.0000480257,0.00005670457,0.000111887,0.0003025014,0.0001696092,0.001451963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004227804,"threshold_uncertainty_score":0.01231056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02929724410616745,"score_gpt":0.2774474797810717,"score_spread":0.2481502356749042,"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."}}