{"id":"W4226458019","doi":"10.1007/978-981-19-0656-5_16","title":"Time-Frequency Assisted Deep Learning for Crack Localization Using Acoustic Emission Data","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Acoustic emission; Materials science; Acoustics; Computer science; Physics","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":[0.0002959651,0.0005190588,0.000469773,0.0003549478,0.0001393728,0.00006926488,0.0004078154,0.0004611941,0.000498469],"category_scores_gemma":[0.0006834795,0.0006073784,0.00009185226,0.000161019,0.00001864136,0.0001891671,0.0001488959,0.0009507841,0.000004838751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005549872,"about_ca_system_score_gemma":0.00005168521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009850117,"about_ca_topic_score_gemma":0.00007743302,"domain_scores_codex":[0.9981809,0.00001284345,0.0005183073,0.0005456263,0.0003213363,0.0004209891],"domain_scores_gemma":[0.9987192,0.000466017,0.0001270868,0.0005418813,0.00006511185,0.00008069219],"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":[0.000003251436,0.000006098411,0.00001125417,0.0005952943,0.00005008403,0.00001204791,0.00006506894,0.9692902,0.02461942,0.00006969301,0.00002723495,0.005250351],"study_design_scores_gemma":[0.0002515859,0.00002779467,0.000005654511,0.0005380264,0.0001453032,0.00002346203,0.000001694026,0.9887794,0.0002854923,0.0007239011,0.008625993,0.0005916688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001547776,0.002186962,0.9943313,0.00001117022,0.0006402637,0.0004902947,0.00008944931,0.0004492957,0.001646501],"genre_scores_gemma":[0.9576334,0.0005933789,0.03157641,0.00004871585,0.00116112,0.00007669225,0.00650273,0.001054445,0.001353113],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9627549,"threshold_uncertainty_score":0.9996378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185399979018524,"score_gpt":0.2255611191226264,"score_spread":0.207021121220774,"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."}}