{"id":"W2951493603","doi":"10.1002/cjs.11510","title":"Global kernel estimator and test of varying‐coefficient autoregressive model","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Autoregressive model; Mathematics; Estimator; Asymptotic distribution; Statistics; Consistency (knowledge bases); Econometrics; Likelihood-ratio test; Statistical inference; Applied mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002841662,0.0001299034,0.0003702778,0.00008517187,0.00005140555,0.00003594759,0.0001687005,0.00006329946,0.0001498091],"category_scores_gemma":[0.005898722,0.0001102211,0.00003332895,0.00009113897,0.0001763129,0.00004285896,0.00001729915,0.0001396572,0.000004216153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001122548,"about_ca_system_score_gemma":0.001174004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003635719,"about_ca_topic_score_gemma":0.0004150483,"domain_scores_codex":[0.9988763,0.00003634081,0.0005067159,0.0001102374,0.000224423,0.0002459593],"domain_scores_gemma":[0.9969308,0.001492204,0.0004174565,0.0001476893,0.0004696701,0.0005421377],"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":[0.00001611481,0.00004829525,0.02758523,0.0002435228,0.00004600342,0.0001417981,0.0004145237,0.001121487,0.00006517177,0.9546517,0.007349465,0.008316749],"study_design_scores_gemma":[0.0007121781,0.0004409181,0.01280278,0.0003685743,0.0001293977,0.0001979447,0.0001246101,0.2880493,0.0000716998,0.6967208,0.000151748,0.0002299733],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06414388,0.0001617244,0.9306149,0.0000766148,0.0002822201,0.0001257792,0.002864234,0.0000040628,0.001726534],"genre_scores_gemma":[0.4819368,0.000005358399,0.5179313,0.00003352798,0.00001706517,3.816831e-7,0.000001193914,0.000009134577,0.00006516226],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4177929,"threshold_uncertainty_score":0.7061748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05068205634434531,"score_gpt":0.3184878539256877,"score_spread":0.2678057975813424,"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."}}