{"id":"W3214449130","doi":"10.1007/s40953-021-00266-8","title":"Rates of Expansions for Functional Estimators","year":2021,"lang":"en","type":"article","venue":"Journal of Quantitative Economics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Smoothness; Estimator; Applied mathematics; Kernel (algebra); Convergence (economics); Mathematics; Mathematical optimization; Econometrics; Sample (material); Rate of convergence; Kernel density estimation; Mean squared error; Computer science; Statistics; Economics; Mathematical analysis; Key (lock)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0658664,0.002605619,0.003657244,0.007810351,0.002408165,0.007858391,0.00631382,0.006358676,0.01491083],"category_scores_gemma":[0.3495799,0.003149265,0.003543303,0.004106741,0.009852646,0.02467518,0.01069553,0.01258047,0.002842426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004011838,"about_ca_system_score_gemma":0.002008304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001232043,"about_ca_topic_score_gemma":0.0009198718,"domain_scores_codex":[0.9754901,0.01655954,0.001282913,0.002099013,0.003291341,0.001277231],"domain_scores_gemma":[0.5098781,0.4452358,0.01014447,0.01769642,0.01301761,0.004027659],"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":[0.00004116608,0.00002186026,0.000760381,0.0001423885,0.00003260169,0.00007416208,0.0003349603,0.005750796,0.0002950024,0.9814262,0.001810326,0.009310138],"study_design_scores_gemma":[0.00002935885,0.00004061521,0.0007215756,0.0002235486,0.00004685271,0.0003972409,0.0001002183,0.09113247,0.0005580149,0.904137,0.002550732,0.00006233396],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02128713,0.00287694,0.9550756,0.004123026,0.000299051,0.0001123156,0.0002933295,0.0006650482,0.01526754],"genre_scores_gemma":[0.501121,0.009232634,0.4259975,0.003742393,0.00269318,0.002211189,0.001540945,0.003648451,0.04981272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0658664,"threshold_uncertainty_score":0.348339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3325651520623888,"score_gpt":0.4595061965560009,"score_spread":0.1269410444936121,"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."}}