{"id":"W3205429506","doi":"10.1016/j.eswa.2021.116060","title":"Anomaly detection for data accountability of Mars telemetry data","year":2021,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"Mitacs; Polytechnique Montréal","keywords":"Telemetry; Mars Exploration Program; Anomaly detection; Computer science; Anomaly (physics); Remote sensing; South Atlantic Anomaly; Data mining; Geology; Telecommunications; Astrobiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003807788,0.0006421271,0.0009730667,0.003101594,0.0009930388,0.001852076,0.001255148,0.0009837708,0.001395896],"category_scores_gemma":[0.02045476,0.0002547491,0.000453068,0.001939721,0.000639426,0.001935256,0.001462195,0.001615261,0.0005394053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009501106,"about_ca_system_score_gemma":0.002158195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00284177,"about_ca_topic_score_gemma":0.002714863,"domain_scores_codex":[0.9960769,0.0009492885,0.0003748659,0.0006425585,0.001574208,0.0003822701],"domain_scores_gemma":[0.9858564,0.00482863,0.002419223,0.002478797,0.003983838,0.0004331538],"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":[0.0008810764,0.0004806705,0.06390839,0.0003136994,0.0002214914,0.0006010233,0.0005619431,0.07875977,0.04664553,0.02875337,0.01071032,0.7681625],"study_design_scores_gemma":[0.00001862172,0.0001755857,0.01011892,0.00003385633,0.0000462917,0.0004038137,0.0001705204,0.9432078,0.02436016,0.01621763,0.005214994,0.0000318422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1223735,0.0004914388,0.8653715,0.0008591629,0.0002427091,0.0001478761,0.0006382918,0.007498091,0.002377313],"genre_scores_gemma":[0.8979875,0.0001126283,0.100013,0.00006820694,0.00008222936,0.00005424796,0.0005739338,0.00009896833,0.00100912],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003807788,"threshold_uncertainty_score":0.02013773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06414976024322895,"score_gpt":0.3322822724052223,"score_spread":0.2681325121619934,"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."}}