{"id":"W4380886529","doi":"10.1007/s40304-023-00336-8","title":"Robust Model Structure Recovery for Ultra-High-Dimensional Varying-Coefficient Models","year":2023,"lang":"en","type":"article","venue":"Communications in Mathematics and Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Science Foundation of Shandong Province; Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Estimator; Quantile; Applied mathematics; Mathematics; Oracle; Dimension (graph theory); Covariate; Asymptotic distribution; Quantile regression; Rate of convergence; Linear regression; Convergence (economics); Constant (computer programming); Statistics; Mathematical optimization; Computer science","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":[0.0007729399,0.0002142479,0.0004047019,0.0001803512,0.0002911522,0.0000729518,0.0004923093,0.0001175668,0.00002079591],"category_scores_gemma":[0.002659135,0.0001966195,0.0000397206,0.0003259234,0.0001997561,0.00006521652,0.000227549,0.0002547015,0.000004344268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000487159,"about_ca_system_score_gemma":0.00008183758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009632414,"about_ca_topic_score_gemma":0.0000348158,"domain_scores_codex":[0.9984268,0.000077317,0.0006643604,0.0002646581,0.0002422466,0.000324603],"domain_scores_gemma":[0.9914741,0.006965967,0.0001857724,0.001055774,0.0002256948,0.00009271105],"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":[0.000008820849,0.0001488601,0.000003551857,0.0002652981,0.00001961607,0.000001042487,0.0006990192,0.04876228,0.0001398658,0.9416817,0.00233686,0.00593307],"study_design_scores_gemma":[0.000204168,0.00002499561,0.000008106591,0.00006573974,0.00002511815,0.000002292588,0.00006480204,0.4998007,0.00001852457,0.499655,0.00001299405,0.0001175849],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003435718,0.00006956266,0.991933,0.0002295993,0.00007428906,0.0005495337,0.002884557,0.00007787909,0.0007458648],"genre_scores_gemma":[0.05962697,0.0002647005,0.9394621,0.00006017928,0.00001239864,0.0001106443,0.0001967294,0.00004317165,0.0002231522],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4510384,"threshold_uncertainty_score":0.8017912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.240919367160927,"score_gpt":0.3857037065326057,"score_spread":0.1447843393716787,"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."}}