{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001684689,0.0008619299,0.0007540276,0.0006990907,0.0009526473,0.002485688,0.002032224,0.001768897,0.004045151],"category_scores_gemma":[0.002155587,0.0004242787,0.0008422229,0.0008922601,0.0007609461,0.002919229,0.002598052,0.002573081,0.0015568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007945112,"about_ca_system_score_gemma":0.001493902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001504683,"about_ca_topic_score_gemma":0.001571074,"domain_scores_codex":[0.9989436,0.0003127054,0.00009260664,0.0001708301,0.0004113576,0.0000688982],"domain_scores_gemma":[0.9990041,0.0002744667,0.0001149508,0.0001999145,0.0003071188,0.00009946726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001447474,0.0002173605,0.001094554,0.001206575,0.0003920023,0.0005034963,0.0004920829,0.1005671,0.01134045,0.4561974,0.04941522,0.3784291],"study_design_scores_gemma":[0.00008036513,0.0001794301,0.0005673773,0.0002181989,0.00011262,0.0003546306,0.0002596711,0.5209162,0.005429834,0.2040975,0.2677062,0.00007802133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001938447,0.005045945,0.977616,0.00216064,0.0008954332,0.0001887533,0.000104213,0.001077154,0.0109734],"genre_scores_gemma":[0.2240561,0.01114507,0.7331883,0.00200514,0.001483106,0.0009685111,0.0006905737,0.0003147644,0.02614841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004045151,"threshold_uncertainty_score":0.0135324,"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."}}