{"id":"W4280545349","doi":"10.18280/isi.270220","title":"Computer Big Data Analysis and Predictive Maintenance Based on Deep Learning","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Big data; Artificial intelligence; Deep learning; Preprocessor; Machine learning; Data pre-processing; Convolutional neural network; Small data; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008000691,0.0006519983,0.0006366094,0.0012598,0.0003817269,0.001039936,0.001189608,0.0005099241,0.0008417631],"category_scores_gemma":[0.002876226,0.0003269572,0.000570503,0.001022585,0.000729699,0.002325801,0.0008609121,0.001177023,0.0001319061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227077,"about_ca_system_score_gemma":0.001167926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009107244,"about_ca_topic_score_gemma":0.006212263,"domain_scores_codex":[0.9994757,0.00006174631,0.0000360397,0.0001546337,0.0001999024,0.00007202303],"domain_scores_gemma":[0.9989451,0.0003670444,0.0001590879,0.0001686148,0.0003085173,0.00005169604],"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":[0.0001707172,0.0001879727,0.01501945,0.0002147903,0.0001230018,0.0002155614,0.0002524486,0.4942906,0.009898685,0.02448699,0.004664498,0.4504753],"study_design_scores_gemma":[0.000002442187,0.00001425526,0.0008138622,0.000004749539,0.00000842759,0.0000218994,0.00001132154,0.9925308,0.001515825,0.004672857,0.0003983377,0.000005327156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0567512,0.0009037281,0.9383546,0.0005333929,0.00006032722,0.00004572934,0.0001255927,0.001186412,0.002039154],"genre_scores_gemma":[0.9162149,0.0006371598,0.08080263,0.0001266216,0.00006044241,0.00005516833,0.0002723533,0.00007637424,0.001754384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009107244,"threshold_uncertainty_score":0.01810843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907488297841832,"score_gpt":0.210546998341722,"score_spread":0.1914721153633037,"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."}}