{"id":"W2431654164","doi":"10.1109/icmcis.2016.7496546","title":"Complex event processing for content-based text, image, and video retrieval","year":2016,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Automatic summarization; Data science; Exploit; Analytics; Workflow; Sensemaking; Event (particle physics); Information retrieval; Knowledge management; Computer security; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00186164,0.001125923,0.001198123,0.004417194,0.0008108609,0.003015973,0.001337584,0.0009467021,0.00923115],"category_scores_gemma":[0.00584693,0.0003783195,0.001169929,0.003590939,0.0006533555,0.002812254,0.00120534,0.0009955894,0.006005272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119085,"about_ca_system_score_gemma":0.001084396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004094736,"about_ca_topic_score_gemma":0.004223791,"domain_scores_codex":[0.9987283,0.0002893001,0.0001539164,0.0002585217,0.0004736079,0.00009630953],"domain_scores_gemma":[0.9975609,0.001169412,0.0001961578,0.0004076148,0.0006039077,0.00006204436],"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":[0.0003569863,0.0001793339,0.001168945,0.0007480138,0.0001063791,0.0002788334,0.0002624193,0.02159498,0.02620771,0.02495454,0.02415304,0.8999889],"study_design_scores_gemma":[0.00006952519,0.0002397129,0.004545988,0.0001601698,0.0001468721,0.0007253271,0.0004506998,0.7909947,0.03606424,0.07758959,0.08889389,0.0001192422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006749674,0.003090759,0.9780436,0.0006088499,0.0002992824,0.0004849552,0.001755105,0.004415708,0.004552213],"genre_scores_gemma":[0.1535747,0.004093643,0.8289695,0.0003603084,0.0005773231,0.0007511865,0.005305796,0.0004518345,0.005915643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00923115,"threshold_uncertainty_score":0.03088129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04756599143939939,"score_gpt":0.3003935012747789,"score_spread":0.2528275098353795,"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."}}