{"id":"W2495151523","doi":"10.1155/2016/9717281","title":"Advances in Time Series Analysis and Its Applications","year":2016,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Series (stratigraphy); Computer science; Time series; Geology; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0002641352,0.0000919691,0.0002199206,0.0002531448,0.00001894156,0.00004850057,0.0002418536,0.0000311361,0.00002593489],"category_scores_gemma":[0.00006901525,0.00006462347,0.00003711747,0.0009718683,0.0000136322,0.0005740532,0.0001309945,0.00005269251,0.0000225286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002318862,"about_ca_system_score_gemma":0.000003500031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.89231e-7,"about_ca_topic_score_gemma":0.00000665642,"domain_scores_codex":[0.9992068,0.000008616652,0.0002690645,0.0002123428,0.0001125196,0.0001906884],"domain_scores_gemma":[0.9995832,0.0001448992,0.00003510252,0.0001783275,0.00001411327,0.00004429704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003254412,0.0002050071,0.006259182,0.0009077456,0.0001487288,0.00001254917,0.001240427,0.2034505,0.01027952,0.6508342,0.000004032147,0.1266548],"study_design_scores_gemma":[0.0001640557,0.00001874614,0.000627282,0.0002111071,0.00002353422,0.000006982902,0.000007097703,0.9670295,0.0004579568,0.03048704,0.0007384082,0.0002283125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002223519,0.0004198741,0.9964345,0.0001631326,0.00000481139,0.0001114198,7.86824e-7,0.00006243854,0.0005794804],"genre_scores_gemma":[0.9620954,0.0001493959,0.03745703,0.000004664445,0.00001127855,0.00009961705,4.474803e-7,0.000007788757,0.0001743848],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9598719,"threshold_uncertainty_score":0.2635269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005582311464314864,"score_gpt":0.1987755318955326,"score_spread":0.1931932204312177,"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."}}