{"id":"W4394582290","doi":"10.1088/2631-8695/ad3c11","title":"Event identification in acoustic emission from wire breaks in pre-stressing/post-tensioning cables","year":2024,"lang":"en","type":"article","venue":"Engineering Research Express","topic":"Mechanical stress and fatigue analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acoustic emission; Event (particle physics); Structural engineering; Acoustics; Identification (biology); Forensic engineering; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003382408,0.0003600547,0.0002709417,0.001345552,0.0001874064,0.0002667717,0.0003205531,0.0005098553,0.0005027463],"category_scores_gemma":[0.0008608305,0.0001098022,0.0003337767,0.0006710271,0.0001423087,0.0002044525,0.0002359796,0.0002174219,0.0001817543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001965893,"about_ca_system_score_gemma":0.0002083526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00239569,"about_ca_topic_score_gemma":0.002894347,"domain_scores_codex":[0.9997018,0.00003572489,0.00002135005,0.00008645107,0.0001115592,0.00004312842],"domain_scores_gemma":[0.9994107,0.0001781244,0.0001188932,0.00004564051,0.0002042384,0.00004238071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001966326,0.0005996974,0.2255592,0.0005453924,0.0002403799,0.001313408,0.000520393,0.1887436,0.3077343,0.0003364558,0.001118859,0.271322],"study_design_scores_gemma":[0.00003434699,0.0006247224,0.3320918,0.00003892525,0.0001235403,0.0006930786,0.0003883648,0.577545,0.08733978,0.0002634531,0.0008068596,0.00005012856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758566,0.00005445213,0.02336521,0.00001082115,0.000009780174,0.00002403543,0.0001891677,0.0001133942,0.0003765937],"genre_scores_gemma":[0.9915406,0.00002345334,0.007885871,0.000004204125,0.000002504828,0.00001803139,0.0002501973,0.00000729568,0.0002678742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00239569,"threshold_uncertainty_score":0.004763484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198547920262871,"score_gpt":0.3028136576736043,"score_spread":0.2808281784709756,"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."}}