{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003909631,0.0002875846,0.0002293647,0.0001452291,0.0001473989,0.0002258816,0.0003245978,0.0001528909,0.0001232688],"category_scores_gemma":[0.000150312,0.0002117254,0.0001790552,0.0003359079,0.0000479621,0.0001338746,0.0000395026,0.0006321515,0.00003498296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005770745,"about_ca_system_score_gemma":0.00001934104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005256647,"about_ca_topic_score_gemma":0.0000375367,"domain_scores_codex":[0.9988543,0.00005517904,0.0002727165,0.0002839033,0.0001811265,0.0003527685],"domain_scores_gemma":[0.9983531,0.001222748,0.0000256451,0.0002977743,0.0000379532,0.00006281487],"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":[0.00001120349,0.0000178428,0.0001836936,0.0004558225,0.00007069731,0.000007895645,0.0005781373,0.9446871,0.0009121612,0.02394161,0.00243868,0.02669518],"study_design_scores_gemma":[0.00009208389,0.00003876895,0.00003007806,0.000207087,0.00004145139,0.000001580215,0.00002545922,0.9316966,0.00339951,0.05095397,0.01326143,0.0002519747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02107602,0.002745904,0.9684787,0.0008095492,0.0002849627,0.0005593079,0.000021709,0.003386616,0.002637274],"genre_scores_gemma":[0.9696032,0.00006813306,0.02915468,0.0002396146,0.0003213564,0.0002997674,0.00003866637,0.0001389987,0.0001356173],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9485272,"threshold_uncertainty_score":0.8633913,"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."}}