{"id":"W4253895314","doi":"10.22215/timreview1068","title":"Combining Exploratory Analysis and Automated Analysis for Anomaly Detection in Real-Time Data Streams","year":2017,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Anomaly detection; Computer science; STREAMS; Exploratory analysis; Exploratory data analysis; Data mining; Real-time computing; Data science; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008360075,0.0021948,0.001365349,0.01089619,0.0006111361,0.003982157,0.001724578,0.0009003421,0.001698542],"category_scores_gemma":[0.01810287,0.0005526067,0.001847895,0.006209335,0.0007864588,0.003484166,0.002009548,0.001598552,0.00119726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007656927,"about_ca_system_score_gemma":0.001471564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002847947,"about_ca_topic_score_gemma":0.003213536,"domain_scores_codex":[0.9938214,0.002093649,0.0006243244,0.0010673,0.002126535,0.0002667401],"domain_scores_gemma":[0.9798451,0.01121764,0.0021171,0.002149857,0.004334342,0.0003359265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002925356,0.0004228528,0.03958722,0.001589793,0.001044924,0.0004346746,0.0006099729,0.02210246,0.01133999,0.007861702,0.01267875,0.902035],"study_design_scores_gemma":[0.00009780982,0.0004839936,0.04084371,0.0009223206,0.0007235084,0.001303159,0.001007214,0.834673,0.01773776,0.07124998,0.03068901,0.0002685127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03757453,0.006326746,0.9420948,0.001816372,0.0002384699,0.0004141312,0.001923884,0.006554767,0.003056176],"genre_scores_gemma":[0.3733697,0.004810689,0.6151206,0.0004922929,0.0004476249,0.0004369344,0.003670262,0.0003337356,0.001318182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01089619,"threshold_uncertainty_score":0.04421282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04841648876250258,"score_gpt":0.343317703687173,"score_spread":0.2949012149246704,"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."}}