{"id":"W2950437283","doi":"10.5383/juspn.11.02.004","title":"The Multi-Agent System Solutions for Big Multi-sensor Data Management","year":2019,"lang":"en","type":"article","venue":"Journal of Ubiquitous Systems and Pervasive Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Big data; Computer science; Data science; Distributed computing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00238591,0.0002979478,0.0005378908,0.0001342249,0.0007751718,0.0006531719,0.002156549,0.000169659,4.701014e-7],"category_scores_gemma":[0.00003207424,0.0001968366,0.0001897757,0.0002880644,0.00007251024,0.0003166407,0.0008889744,0.000355555,0.000007611932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001528435,"about_ca_system_score_gemma":0.00006617048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004363389,"about_ca_topic_score_gemma":0.00005930148,"domain_scores_codex":[0.9968763,0.0002973707,0.001007027,0.000528622,0.0004998106,0.0007908846],"domain_scores_gemma":[0.9961804,0.0006946968,0.0009722615,0.001418851,0.0005068496,0.0002269137],"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":[0.00005997203,0.0001449072,0.0005387623,0.0003485148,0.0004944254,0.000093075,0.0002987435,0.9600376,0.00006626979,0.01688421,0.007215906,0.01381758],"study_design_scores_gemma":[0.001428704,0.0001816537,0.0004165123,0.0006201787,0.00007727155,0.000405311,0.001414636,0.9462311,0.000003177553,0.000002548964,0.04898459,0.0002342752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004957226,0.01530459,0.963954,0.0003340933,0.01416792,0.001069947,0.00001569444,0.00006428611,0.0001322772],"genre_scores_gemma":[0.967221,0.002748041,0.02477422,0.0001198905,0.002905607,0.00004611186,0.000011679,0.00005573929,0.002117689],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9622638,"threshold_uncertainty_score":0.8026764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05929860227270915,"score_gpt":0.2647331762428013,"score_spread":0.2054345739700921,"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."}}