{"id":"W4315621745","doi":"10.21203/rs.3.rs-2310685/v1","title":"Quantum Variational Rewinding for Time Series Anomaly Detection","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Bank of Canada; University of Calgary; Agnostiq (Canada)","funders":"","keywords":"Anomaly (physics); Series (stratigraphy); Computer science; Anomaly detection; Observable; Quantum; Quantum spacetime; Statistical physics; Data mining; Physics; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00347032,0.0002385832,0.000698693,0.001269967,0.0006004652,0.0004961864,0.0004359201,0.0003465856,0.001102958],"category_scores_gemma":[0.0008417345,0.0002893652,0.0004676302,0.0007711165,0.00007091965,0.000203844,0.0006812149,0.0005992645,0.002358038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004728067,"about_ca_system_score_gemma":0.0001121105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002635028,"about_ca_topic_score_gemma":0.0003978854,"domain_scores_codex":[0.9972793,0.00009047789,0.0008482184,0.0009345615,0.0002050643,0.0006423396],"domain_scores_gemma":[0.9980149,0.0003719727,0.000392767,0.0007011164,0.0003976757,0.0001215282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004069478,0.0002450864,0.02032807,0.004627028,0.001975468,0.00002784975,0.001610728,0.006852578,0.0003133955,0.9408323,0.02090944,0.001871073],"study_design_scores_gemma":[0.0005644513,0.0004421493,0.04706246,0.0003563509,0.0000300897,0.000005534369,0.0004703698,0.2259415,0.00007511146,0.5454544,0.1787219,0.0008756759],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3581982,0.01922235,0.4439454,0.02632526,0.0155168,0.02299199,0.04566792,0.003230455,0.06490157],"genre_scores_gemma":[0.9517145,0.0002284827,0.001232672,0.00001121486,0.001560509,0.001114074,0.0009589881,0.0001489913,0.04303059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5935162,"threshold_uncertainty_score":0.9999558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.133781319423065,"score_gpt":0.3357880194261664,"score_spread":0.2020067000031014,"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."}}