{"id":"W4401949025","doi":"10.2478/amns-2024-2494","title":"Machine Learning Diagnosis of Node Failures Based on Wireless Sensor Networks","year":2024,"lang":"en","type":"article","venue":"Applied Mathematics and Nonlinear Sciences","topic":"AI and Big Data Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Wireless sensor network; Node (physics); Computer network; Key distribution in wireless sensor networks; Wireless; Wireless network; Artificial intelligence; Telecommunications; Engineering","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":[0.000447431,0.0006155701,0.0005306752,0.0005973237,0.0002448182,0.0002961945,0.0005186744,0.0004662017,0.0004748339],"category_scores_gemma":[0.002015518,0.0001567505,0.0003008509,0.0004050186,0.0002667776,0.00074352,0.0003451373,0.0004648872,0.00008914041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004192448,"about_ca_system_score_gemma":0.0003312432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004221509,"about_ca_topic_score_gemma":0.002133294,"domain_scores_codex":[0.9997715,0.00004226618,0.00001967715,0.00006942407,0.00006644947,0.00003058823],"domain_scores_gemma":[0.9995191,0.0002543235,0.0000736746,0.00003072814,0.0001060239,0.00001612405],"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":[0.0001108095,0.0000500912,0.004265504,0.00006588698,0.00004220447,0.0001445161,0.00005052871,0.9137807,0.004192999,0.001644727,0.000477622,0.07517448],"study_design_scores_gemma":[0.000001028632,0.00001045581,0.0002897995,0.000001782187,0.000002430049,0.000008334972,0.000003290275,0.998763,0.0004240942,0.0004546978,0.00003997232,0.00000122261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2464545,0.000672093,0.7491362,0.0003348464,0.0001236692,0.00005575518,0.00009174503,0.0008350895,0.002296011],"genre_scores_gemma":[0.9863906,0.0001199082,0.01293594,0.00002532221,0.0000152322,0.00002102174,0.00004679154,0.000007407501,0.0004376056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004221509,"threshold_uncertainty_score":0.008393884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02313005406002544,"score_gpt":0.2659322498764266,"score_spread":0.2428021958164011,"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."}}