{"id":"W4206642165","doi":"10.23919/spects52716.2021.9639305","title":"A Technique for Extracting User Specified Information from Streaming Data","year":2021,"lang":"en","type":"article","venue":"","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Streaming data; SPARK (programming language); Latency (audio); Low latency (capital markets); Data mining; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003311056,0.0001087096,0.0001205284,0.00007122765,0.00008471489,0.0004742247,0.001633351,0.00007078576,0.00002806051],"category_scores_gemma":[0.0004292005,0.0001074552,0.00002619216,0.0002225471,0.00001118287,0.004955448,0.001448187,0.0001008223,0.00001959993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003154769,"about_ca_system_score_gemma":0.0001042222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000122829,"about_ca_topic_score_gemma":0.0000239967,"domain_scores_codex":[0.9990096,0.00002536827,0.0002458031,0.0003600875,0.000169458,0.0001896599],"domain_scores_gemma":[0.9973954,0.0003173662,0.0001222469,0.002001048,0.0001198232,0.00004412499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001135637,0.0001148395,0.0003909278,0.00003395047,0.000042568,0.00002341134,0.000495662,0.000001203227,0.03114362,0.08791252,0.1173508,0.7624792],"study_design_scores_gemma":[0.0003752137,0.00004559183,0.00151809,0.0001278806,0.00001601447,0.00004191451,0.0003771143,0.0377209,0.601884,0.01185671,0.3455528,0.0004837298],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005840364,0.00001085564,0.9920381,0.0004211773,0.0001093621,0.0002673545,0.0002446346,0.0006245689,0.005699947],"genre_scores_gemma":[0.01849001,0.000007100347,0.979829,0.0002213079,0.00006047198,0.00005994527,0.001190384,0.000006965958,0.0001348109],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7619954,"threshold_uncertainty_score":0.457296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0663591158786618,"score_gpt":0.3095831315911478,"score_spread":0.243224015712486,"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."}}