{"id":"W2131027594","doi":"10.14778/2733004.2733021","title":"DGFIndex for smart grid","year":2014,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Search engine indexing; Grid file; Database; Grid; Big data; Data mining; Range query (database); Distributed computing; Grid computing; Information retrieval; Web search query; Sargable; Search engine","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":[0.0005765039,0.0001163929,0.0001443867,0.00005468736,0.0001572028,0.00008319465,0.001337354,0.00002697461,0.000001600918],"category_scores_gemma":[0.00007881928,0.00007571471,0.000138369,0.0001976193,0.00003672523,0.00002368492,0.000736211,0.00006766901,0.000005661131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003439614,"about_ca_system_score_gemma":0.00000826364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001496698,"about_ca_topic_score_gemma":5.585185e-7,"domain_scores_codex":[0.9989527,0.000005451197,0.000213008,0.0002799234,0.0002948773,0.0002540128],"domain_scores_gemma":[0.9993838,0.00005589483,0.0001781634,0.0002243696,0.0001101674,0.0000475907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002758327,0.0003128128,0.004532875,0.0004123343,0.0001263469,1.567293e-7,0.001614816,0.001085344,0.00755304,0.7932029,0.06139021,0.1297415],"study_design_scores_gemma":[0.002305903,0.0006314164,0.008741931,0.0002951357,0.00007234579,0.00001465171,0.0001732391,0.2952233,0.1138619,0.06554478,0.5125171,0.0006182447],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7357159,0.000200935,0.1136881,0.03003084,0.004619422,0.002909543,0.000004914175,0.0007379372,0.1120924],"genre_scores_gemma":[0.9851859,0.000001600018,0.01257935,0.0005072637,0.000224189,0.00005162655,1.49357e-7,0.000009317573,0.001440576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7276582,"threshold_uncertainty_score":0.3087556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009341681633792011,"score_gpt":0.2041474509423922,"score_spread":0.1948057693086002,"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."}}