{"id":"W3032907911","doi":"10.1109/tcss.2020.2995497","title":"A Scalable Platform to Collect, Store, Visualize, and Analyze Big Data in Real Time","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Computational Social Systems","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University; Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Big data; Computer science; Scalability; Social media; Data science; Analytics; Social media analytics; Field (mathematics); Focus (optics); World Wide Web; Data analysis; Database; Data mining","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002150333,0.0001552662,0.0004098782,0.0001603966,0.0001893297,0.00005727951,0.0001477066,0.00007809626,0.00004778408],"category_scores_gemma":[0.00002179947,0.0001656076,0.00005051819,0.0008211236,0.00005092499,0.0001281966,0.000006768945,0.0001546063,0.0001499891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839339,"about_ca_system_score_gemma":0.0002663319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008595454,"about_ca_topic_score_gemma":0.00020679,"domain_scores_codex":[0.9984175,0.00008299369,0.0003702697,0.0004422429,0.0004787885,0.0002082192],"domain_scores_gemma":[0.9991925,0.0001731006,0.00007097726,0.0001728987,0.0001100118,0.0002804547],"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":[0.0153613,0.005682877,0.02231576,0.003458587,0.003852417,0.0008550599,0.01692661,0.5613655,0.006938735,0.001471925,0.2578803,0.1038909],"study_design_scores_gemma":[0.009729611,0.001067302,0.1018912,0.0004216338,0.0003231994,0.00006349304,0.0008781666,0.8599147,0.00007643671,0.0001283221,0.02446128,0.0010446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6812235,0.0001449131,0.2994259,0.003884989,0.0009721162,0.002818306,0.007694039,0.0005249099,0.003311366],"genre_scores_gemma":[0.9980052,0.00000881574,0.0004364901,0.0004412575,0.0003363225,0.00004370106,0.0004180631,0.00002735791,0.0002827656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3167818,"threshold_uncertainty_score":0.6753282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0698136231509117,"score_gpt":0.3253849389644841,"score_spread":0.2555713158135724,"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."}}