{"id":"W4312283525","doi":"10.1115/ipc2022-87151","title":"Advanced Non-Destructive Methods for Defect Characterization Under Coating for In-Service Storage Tanks","year":2022,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Service (business); Flammable liquid; Reliability (semiconductor); Storage tank; Pipeline transport; Pipeline (software); Reliability engineering; Engineering; Process engineering; Systems engineering; Manufacturing engineering; Construction engineering; Computer science; Waste management; Mechanical 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":[],"consensus_categories":[],"category_scores_codex":[0.0005908192,0.0002035833,0.0002577287,0.0001772472,0.0001643609,0.00002344129,0.0002047859,0.00006017751,0.00002943774],"category_scores_gemma":[0.0001465587,0.000241224,0.00007868554,0.0004562179,0.00001339846,0.0002468839,0.00008896115,0.0002054207,5.432873e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004436728,"about_ca_system_score_gemma":0.00003380224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001842679,"about_ca_topic_score_gemma":0.00001684976,"domain_scores_codex":[0.9989305,0.00007552713,0.0002908523,0.0002973066,0.0000915642,0.0003142098],"domain_scores_gemma":[0.9988943,0.0006527026,0.00008944117,0.0002155696,0.000109276,0.00003870927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004934075,0.00001970402,0.0005325518,0.0002040628,0.00003113054,5.507329e-7,0.000404492,0.00529596,0.9680606,0.01352781,0.0000154557,0.01185838],"study_design_scores_gemma":[0.003875908,0.0007491286,0.03004071,0.0001433036,0.000108744,0.0000450255,0.001689582,0.3247453,0.1943818,0.4411797,0.00116176,0.001879076],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3220018,0.00001084994,0.6751206,0.00002801102,0.0002737034,0.001112951,0.00004420265,0.0005955999,0.0008123438],"genre_scores_gemma":[0.3006078,0.000001016962,0.6974345,0.0001054523,0.00003105696,0.001634267,0.00009339045,0.00007855947,0.00001400784],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7736787,"threshold_uncertainty_score":0.9836828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273314249936296,"score_gpt":0.3200089015850048,"score_spread":0.2972757590856418,"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."}}