{"id":"W4396573125","doi":"10.5220/0012558100003690","title":"EmbedDB: A High-Performance Time Series Database for Embedded Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"","keywords":"Computer science; Series (stratigraphy); Database","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":[0.0004738087,0.000147231,0.0002018591,0.0001065846,0.0001306781,0.0008221142,0.0004615918,0.00003561316,0.00008153692],"category_scores_gemma":[0.00002404665,0.0001110545,0.00007787339,0.0004406576,0.00002471701,0.001823437,0.0002093501,0.00007435697,0.0003131665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002267036,"about_ca_system_score_gemma":0.0000649771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004899979,"about_ca_topic_score_gemma":0.000006563123,"domain_scores_codex":[0.9988295,0.0000287872,0.00025864,0.0004138373,0.0001847222,0.00028451],"domain_scores_gemma":[0.9992233,0.0001110274,0.00004089862,0.0004846208,0.00007176125,0.00006842399],"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":[0.00002261026,0.00003958012,0.00002501776,0.0006411576,0.0001964039,0.00003062981,0.000713211,0.005542923,0.004165908,0.9203867,0.0311505,0.03708534],"study_design_scores_gemma":[0.00007809063,0.00009232087,0.00001119946,0.00009561117,0.00001758482,0.00003315186,0.00006535743,0.9661593,0.001337482,0.0002101398,0.03172211,0.0001776714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01071005,0.0006767065,0.9800226,0.0008109107,0.0007859681,0.0002763218,0.00003978497,0.0008207283,0.00585692],"genre_scores_gemma":[0.8138087,0.00005449978,0.14131,0.0002048286,0.0003020088,0.000112157,0.00007715532,0.00003480668,0.04409574],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9606164,"threshold_uncertainty_score":0.7927666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170328063546872,"score_gpt":0.2245472884395177,"score_spread":0.212844007804049,"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."}}