{"id":"W4250612932","doi":"10.1002/9781119214656.ch8","title":"Time Series","year":2018,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Statistical and numerical algorithms","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Statistics Canada","funders":"","keywords":"Outlier; Series (stratigraphy); Estimator; Time series; Autoregressive model; Order of integration (calculus); Mathematics; Econometrics; Statistics; Applied mathematics; Computer science; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001563083,0.000800413,0.0005568691,0.00278042,0.0006909088,0.003818934,0.0009161417,0.001115123,0.06980877],"category_scores_gemma":[0.009585964,0.0002235587,0.0006642118,0.005869502,0.0008761036,0.003070137,0.00150579,0.001538993,0.03383619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207074,"about_ca_system_score_gemma":0.001206034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001250552,"about_ca_topic_score_gemma":0.001147576,"domain_scores_codex":[0.9981255,0.0004316355,0.0002184356,0.0003836626,0.0007750612,0.00006568815],"domain_scores_gemma":[0.9976979,0.0008550648,0.000279641,0.0005550205,0.0005143273,0.00009812851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005604777,0.00004530445,0.001750152,0.0008441597,0.00007249635,0.0002592668,0.0004366943,0.003375734,0.001057619,0.4434844,0.2157669,0.3328512],"study_design_scores_gemma":[0.000004550473,0.00002193794,0.001289863,0.0002670021,0.00001264639,0.0003265316,0.0001245369,0.001545467,0.0003314814,0.05899092,0.9370672,0.00001785615],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008870326,0.06156319,0.2988042,0.01414404,0.01832996,0.0005006659,0.03179466,0.003243617,0.5627494],"genre_scores_gemma":[0.1675577,0.1223836,0.1838766,0.006497514,0.0107953,0.001233706,0.05331269,0.001843752,0.4524992],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06980877,"threshold_uncertainty_score":0.2335336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225847944921693,"score_gpt":0.2782951477915803,"score_spread":0.255710353299411,"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."}}