{"id":"W4391643657","doi":"10.3390/machines12020121","title":"Unveiling the Black Box: A Unified XAI Framework for Signal-Based Deep Learning Models","year":2024,"lang":"en","type":"article","venue":"Machines","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Black box; SIGNAL (programming language); Deep learning; Computer science; Artificial intelligence","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":[0.002131741,0.001203646,0.00088896,0.0006307434,0.0003990126,0.001579811,0.002417096,0.001277147,0.002406904],"category_scores_gemma":[0.003558838,0.0006024204,0.0009039609,0.0004469267,0.001205876,0.002916147,0.002416013,0.003403261,0.0006825237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009332827,"about_ca_system_score_gemma":0.001412328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002770697,"about_ca_topic_score_gemma":0.004353188,"domain_scores_codex":[0.9995267,0.0001532634,0.00002986482,0.0001048719,0.0001381652,0.00004697186],"domain_scores_gemma":[0.9988238,0.0005480263,0.0001155479,0.0002288989,0.0002208775,0.00006282463],"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":[0.0001035517,0.00008241957,0.001117552,0.0001457423,0.00008136285,0.00009943376,0.000177806,0.7373593,0.005688033,0.1273626,0.002203105,0.1255791],"study_design_scores_gemma":[0.000002160097,0.00001442604,0.00002850343,0.000006825221,0.00000387381,0.000006017122,0.000004566092,0.986017,0.0004735989,0.01303383,0.0004064326,0.000002722093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002700107,0.0001146311,0.9958824,0.0002248765,0.00001338657,0.00001868917,0.00003906929,0.0003908575,0.0006159762],"genre_scores_gemma":[0.3844527,0.0006121694,0.6096934,0.0004034718,0.0001180941,0.0002683692,0.0003355185,0.0002280987,0.003888142],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002770697,"threshold_uncertainty_score":0.01127386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01835671233525086,"score_gpt":0.2883686062458199,"score_spread":0.270011893910569,"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."}}