{"id":"W4405305984","doi":"10.1109/indin58382.2024.10774467","title":"Distributed Predictive Maintenance Through Edge Computing","year":2024,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kelowna General Hospital; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Distributed computing; Edge computing; Enhanced Data Rates for GSM Evolution; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003170179,0.0003097682,0.0003501019,0.0002796729,0.0003999315,0.0008656406,0.001260862,0.0004193004,0.00184194],"category_scores_gemma":[0.0007895766,0.0001258071,0.0002054862,0.0003233902,0.0004267364,0.001230184,0.0008030173,0.0006387612,0.0002372416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005909991,"about_ca_system_score_gemma":0.0005620396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004331498,"about_ca_topic_score_gemma":0.004519196,"domain_scores_codex":[0.9997942,0.00003753692,0.000007376284,0.00005794525,0.00006422776,0.00003869248],"domain_scores_gemma":[0.99972,0.0000936465,0.00002674304,0.00007176252,0.00006456948,0.00002319417],"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":[0.0002849797,0.0001134096,0.001635797,0.00005691408,0.00003868181,0.0002797949,0.0001060165,0.7093267,0.006617697,0.09754821,0.00576464,0.1782272],"study_design_scores_gemma":[0.000009574921,0.00002347668,0.0001715393,0.000005097341,0.000006731128,0.00003114829,0.0000142102,0.9801037,0.0009858712,0.01648757,0.002156457,0.000004577095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05221149,0.0005483588,0.9330751,0.0005326673,0.0001102924,0.00005389614,0.00009578457,0.001137763,0.01223466],"genre_scores_gemma":[0.9178794,0.0002788296,0.0779544,0.0001077584,0.00005145714,0.00004693338,0.00009407651,0.00004103961,0.003546189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004331498,"threshold_uncertainty_score":0.008612573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583319792862425,"score_gpt":0.2643125198897267,"score_spread":0.2484793219611025,"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."}}