{"id":"W2146058742","doi":"","title":"FX Singular Spectrum Analysis","year":2009,"lang":"en","type":"article","venue":"","topic":"Statistical and numerical algorithms","field":"Mathematics","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Singular spectrum analysis; Singular value decomposition; Deconvolution; Mathematics; Noise (video); Singular value; Algorithm; Noise reduction; Matrix (chemical analysis); Trajectory; Applied mathematics; Series (stratigraphy); Computer science; Artificial intelligence; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006836368,0.00007856097,0.0002080769,0.00006154728,0.00005124788,0.00003104785,0.00007749366,0.00002913843,0.002471612],"category_scores_gemma":[0.0001417444,0.00005477171,0.000116183,0.0005447496,0.00002638721,0.00002385906,0.00001021882,0.00005772623,0.0001302679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001243611,"about_ca_system_score_gemma":0.000005415774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002209174,"about_ca_topic_score_gemma":0.000006759758,"domain_scores_codex":[0.9993566,0.00001270514,0.0001529587,0.0001419473,0.0001596104,0.0001761832],"domain_scores_gemma":[0.9995336,0.0001736624,0.00002436093,0.0001667603,0.00001566066,0.00008597215],"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":[0.00000847157,0.0002543572,0.0001753949,0.000004548499,0.0002162368,0.00003298912,0.00005920241,0.000002197788,0.0001405006,0.9573098,0.004432741,0.03736356],"study_design_scores_gemma":[0.00009073161,0.00008119018,0.005845713,0.000001354606,0.000266008,0.000001870616,0.000009631731,0.005237553,0.0007677338,0.9862477,0.001339807,0.0001107088],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01992883,0.00001691173,0.9324262,0.002472735,0.00003408483,0.00005728799,0.000003887624,0.0001729901,0.04488711],"genre_scores_gemma":[0.6562476,0.00000177796,0.3371615,0.0007207099,0.00008650716,0.000001130145,0.00000436138,0.000006022916,0.005770479],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6363187,"threshold_uncertainty_score":0.9984403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02914022738629258,"score_gpt":0.3205119357821893,"score_spread":0.2913717083958968,"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."}}