{"id":"W4417262175","doi":"10.1002/sta4.70125","title":"High‐Dimensional Regression With Missing Data: An Asymptotic Study","year":2025,"lang":"en","type":"article","venue":"Stat","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Missing data; Regression; Hyperparameter; Regression analysis; Linear regression; Asymptotic analysis; Ridge","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":[0.0004666952,0.0001197281,0.0002132293,0.00004638147,0.0001301017,0.00005090373,0.0002225726,0.00002965668,0.0001349469],"category_scores_gemma":[0.0008477048,0.0000742893,0.000008581925,0.0001427886,0.00005420397,0.0001131017,0.000158503,0.0001260734,0.000004536619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002021138,"about_ca_system_score_gemma":0.00008729201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004686719,"about_ca_topic_score_gemma":0.00003188742,"domain_scores_codex":[0.9988691,0.0001954475,0.0001952425,0.0003351476,0.0002391161,0.0001658967],"domain_scores_gemma":[0.9982176,0.0008708166,0.00005742342,0.0007129985,0.00007011402,0.00007103242],"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":[0.0005565954,0.003020437,0.01247331,0.0003291653,0.0002597669,0.0002350546,0.001193899,0.00002113676,0.001222117,0.6120256,0.02093033,0.3477326],"study_design_scores_gemma":[0.001901323,0.001091479,0.01875997,0.0007004887,0.0002540918,0.000008191628,0.001025058,0.02033746,0.0006267551,0.954498,0.0004110748,0.0003860913],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4911149,0.00004511332,0.5058317,0.0003917042,0.0003340039,0.000439071,0.00009364267,0.0001103539,0.001639451],"genre_scores_gemma":[0.4124517,8.474333e-7,0.5869203,0.0001051136,0.00002962135,0.000005260198,0.00002039387,0.00001160126,0.0004551937],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3473465,"threshold_uncertainty_score":0.302943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1447456243375957,"score_gpt":0.4486334218777271,"score_spread":0.3038877975401315,"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."}}