{"id":"W3099617739","doi":"10.1109/wimob50308.2020.9253426","title":"Data Stream Query Processing on Mobile Devices","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Computer science; Stream processing; Query optimization; Database; Distributed computing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007500539,0.00008975537,0.0001048772,0.00001657927,0.00008603107,0.0000809366,0.0007741182,0.00001774351,0.00002106432],"category_scores_gemma":[0.00002759547,0.00006624257,0.00001161485,0.0001923023,0.00001749502,0.001570588,0.0006144199,0.00006325662,0.0001100442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000612367,"about_ca_system_score_gemma":0.00005361415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002365716,"about_ca_topic_score_gemma":0.0000495496,"domain_scores_codex":[0.9991044,0.00001781953,0.000136714,0.0004368855,0.0001633757,0.0001407994],"domain_scores_gemma":[0.9990754,0.00003229998,0.00005361858,0.0007236192,0.00002610641,0.00008903117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001924369,0.0001314196,0.001265216,0.0003339627,0.00002280168,0.00007654888,0.001397254,0.0008325533,0.001093852,0.2150792,0.02938506,0.7503629],"study_design_scores_gemma":[0.0001409794,0.0001419569,0.0001649644,0.00006266451,0.000002464674,0.000005584208,0.0003781005,0.1199367,0.001884324,0.00005049021,0.8770056,0.0002261747],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002100081,0.0002847454,0.9905056,0.0009916921,0.00008391761,0.0001299646,0.00006868583,0.0003428578,0.005492477],"genre_scores_gemma":[0.6742967,0.00001617428,0.3205263,0.004451585,0.0002884602,0.00002148137,0.0001065217,0.00001377048,0.0002790263],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8476205,"threshold_uncertainty_score":0.2701294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06759799372661951,"score_gpt":0.3070872628770231,"score_spread":0.2394892691504036,"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."}}