{"id":"W4205524558","doi":"10.18280/ts.380626","title":"Sound Visualization and Convolutional Neural Network in Fault Diagnosis of Electric Motorbike","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Council","keywords":"Spectrogram; Computer science; Convolutional neural network; Fault (geology); Visualization; Graph; Time domain; Frequency domain; Speech recognition; Artificial intelligence; Real-time computing; Computer vision; Theoretical computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001558207,0.0001379459,0.0001950739,0.0001065929,0.00002863799,0.00002236195,0.00006752738,0.00006403475,0.0002633349],"category_scores_gemma":[0.00002669724,0.0001561047,0.00003999632,0.0003846255,0.0000212913,0.0001106013,0.00002581373,0.000102616,0.000001290738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006450447,"about_ca_system_score_gemma":0.00001611139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002348227,"about_ca_topic_score_gemma":0.00005787853,"domain_scores_codex":[0.9990297,0.00005534631,0.000331078,0.000166792,0.0001949608,0.0002221331],"domain_scores_gemma":[0.9996355,0.0001449898,0.00003999224,0.00008046215,0.00005299178,0.00004612401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002979669,0.0004158647,0.8132537,0.0003657872,0.0001155374,0.00004033981,0.0004588057,0.1413585,0.01290561,0.01229808,0.009824205,0.00893378],"study_design_scores_gemma":[0.0009260176,0.0001363857,0.3060296,0.0001055925,0.00003778605,0.00001296571,0.00002413968,0.6614259,0.02769462,0.001938917,0.001331751,0.0003362081],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901356,0.001553442,0.007564248,0.00003956471,0.00006728475,0.0002250735,0.00001436103,0.0001640959,0.0002363436],"genre_scores_gemma":[0.9986815,0.0003685661,0.0005450626,0.00008027691,0.0001022573,0.0001409333,0.00005446224,0.00002158174,0.000005309209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5200675,"threshold_uncertainty_score":0.6365764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050430504138589,"score_gpt":0.2583684898276574,"score_spread":0.2478641847862715,"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."}}