{"id":"W3123262030","doi":"","title":"A Functional Filtering and Neighborhood Truncation Approach to Integrated Quarticity Estimation","year":2011,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Truncation (statistics); Estimation; Computer science; Truncation error; Mathematics; Algorithm; Mathematical optimization; Applied mathematics; Statistics; Economics","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":[0.001541768,0.00008069175,0.0001576395,0.0002191953,0.00008366007,0.00001797051,0.00008989282,0.00005815136,0.0001239027],"category_scores_gemma":[0.001991401,0.00007517198,0.00002467733,0.000121968,0.00008625795,0.0001745179,0.00005147031,0.0001501848,0.00001682793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001667698,"about_ca_system_score_gemma":0.0001131753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000702079,"about_ca_topic_score_gemma":0.000008168861,"domain_scores_codex":[0.9988723,0.000122962,0.0003083327,0.0002439418,0.0002808731,0.0001716212],"domain_scores_gemma":[0.9983919,0.0009575557,0.00006543716,0.0001102689,0.0003773944,0.00009741807],"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":[0.00008764569,0.0001016347,0.00005140136,0.00003564346,0.00001749161,1.00219e-7,0.0003632425,0.0005033939,0.0005522164,0.9900678,0.0003274399,0.007891965],"study_design_scores_gemma":[0.0002068519,0.00007639436,0.0009294949,0.00001323414,0.000004091567,0.000002774584,0.0001008478,0.1176121,0.000850316,0.8801284,0.00001201355,0.00006350633],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01321358,0.000008516628,0.921711,0.00009304656,0.00003774811,0.0003168783,0.00002142929,0.00001719781,0.06458056],"genre_scores_gemma":[0.5905,0.000001811291,0.409265,0.00000951323,0.00002592312,0.00005966462,0.00001843446,0.000007530986,0.0001120976],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5772864,"threshold_uncertainty_score":0.3065424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6885076362051065,"score_gpt":0.5613864756509942,"score_spread":0.1271211605541123,"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."}}