{"id":"W4387846642","doi":"10.1145/3583780.3615306","title":"Anomaly and Novelty detection for Satellite and Drone systems (ANSD '23)","year":2023,"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":"","funders":"Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México; Institute for Information and Communications Technology Promotion; University of California, San Diego; Ministry of Science and ICT, South Korea; National Research Foundation of Korea; Korea Aerospace Research Institute; National University of Computer and Emerging Sciences; National Research Foundation; Sungkyunkwan University; Commonwealth Scientific and Industrial Research Organisation; Sangmyung University; University of Southern California; Kyungpook National University; Stony Brook University; State University of New York; Chungnam National University; Institute for Catastrophic Loss Reduction; University of Washington; National Aeronautics and Space Administration","keywords":"Drone; Anomaly detection; Computer science; Novelty; Satellite; Novelty detection; Scale (ratio); Data science; Anomaly (physics); Remote sensing; Real-time computing; Data mining; Geography; Cartography; Engineering; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00266417,0.0008419055,0.001024253,0.002870596,0.0006265476,0.001468285,0.00133093,0.001010005,0.00201007],"category_scores_gemma":[0.007155291,0.000342787,0.001343761,0.001562681,0.0006871789,0.001376335,0.002227823,0.001788886,0.001169157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008479704,"about_ca_system_score_gemma":0.001014209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004785185,"about_ca_topic_score_gemma":0.007075531,"domain_scores_codex":[0.9972289,0.0004781843,0.0002029858,0.0004157324,0.001538623,0.0001354219],"domain_scores_gemma":[0.9972714,0.0009583751,0.0002127668,0.0004851478,0.0009061421,0.000166198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002508665,0.0001773554,0.008596549,0.0004059028,0.0003226672,0.0002968788,0.0002303818,0.02227487,0.01749066,0.01263404,0.03981871,0.8975011],"study_design_scores_gemma":[0.00007183397,0.0003421543,0.01302502,0.0001142857,0.0001070407,0.001436196,0.0002288998,0.8403226,0.02440177,0.04591474,0.0739335,0.0001020304],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02424819,0.0037221,0.9567275,0.001473583,0.001017465,0.0002531824,0.002197679,0.006210748,0.004149485],"genre_scores_gemma":[0.2502575,0.002456201,0.7306721,0.0004819437,0.0005679108,0.0003094269,0.007328385,0.0003650372,0.007561381],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004785185,"threshold_uncertainty_score":0.01408958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691208634864753,"score_gpt":0.2467765818839601,"score_spread":0.2298644955353126,"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."}}