{"id":"W2071823082","doi":"10.1016/j.spl.2013.12.019","title":"Empirical likelihood test for high dimensional linear models","year":2014,"lang":"en","type":"article","venue":"Statistics & Probability Letters","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Mathematics; Empirical likelihood; Statistics; Test (biology); Econometrics; Likelihood-ratio test; Applied mathematics; Estimator","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":[0.01960433,0.001131685,0.00251331,0.002234885,0.001019176,0.003066723,0.004115839,0.003049416,0.01352902],"category_scores_gemma":[0.1924431,0.001074489,0.001517191,0.002155317,0.004464373,0.004717447,0.004472265,0.005031714,0.001684653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00116297,"about_ca_system_score_gemma":0.002951786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002028533,"about_ca_topic_score_gemma":0.001219394,"domain_scores_codex":[0.9837064,0.01277605,0.0005086744,0.001373129,0.001172431,0.0004632781],"domain_scores_gemma":[0.7203454,0.2642226,0.004250637,0.006792522,0.002361821,0.002026956],"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":[0.002101177,0.0006443032,0.0249986,0.0007750815,0.001467321,0.001781594,0.0006731771,0.2028445,0.001728813,0.6114184,0.009707557,0.1418596],"study_design_scores_gemma":[0.0002718743,0.0002278503,0.003223567,0.00007450778,0.00008900056,0.0003837397,0.0001408809,0.6111503,0.0006823425,0.3816979,0.002000612,0.00005740338],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03128837,0.0003593513,0.9640179,0.001409813,0.00006632367,0.00005570034,0.000448979,0.0006000194,0.001753493],"genre_scores_gemma":[0.7676258,0.0005765613,0.2172801,0.0008203522,0.0005371045,0.0008132748,0.003738596,0.0004384175,0.008169712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01960433,"threshold_uncertainty_score":0.1036788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08753912234361391,"score_gpt":0.3607639914846141,"score_spread":0.2732248691410002,"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."}}