{"id":"W4391139230","doi":"10.3982/qe2269","title":"A robust permutation test for subvector inference in linear regressions","year":2024,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Toulouse School of Economics","keywords":"Inference; Permutation (music); Test (biology); Resampling; Computer science; Mathematics; Statistics; Econometrics; Artificial intelligence; Geology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0004868464,0.0001372883,0.0002484791,0.0001332537,0.00005395577,0.00007161906,0.0001041351,0.00007364712,0.0001121546],"category_scores_gemma":[0.01303191,0.0001225908,0.0000614696,0.0001443544,0.00007331392,0.0001498713,0.00002653165,0.0001544803,0.00005718059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009105146,"about_ca_system_score_gemma":0.000129554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001151966,"about_ca_topic_score_gemma":0.00009830014,"domain_scores_codex":[0.9990249,0.00005760134,0.000380741,0.00029811,0.00003808499,0.0002005807],"domain_scores_gemma":[0.9806544,0.01900212,0.00007266594,0.0001357756,0.00007937053,0.00005568569],"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":[0.00001857232,0.00005702257,0.0007243454,0.0001602658,0.00001346921,0.000003463936,0.000871957,0.0002487059,0.0001259035,0.9933878,0.0003576086,0.004030918],"study_design_scores_gemma":[0.0001797292,0.0001832394,0.0007964052,0.0001802206,0.00001511389,0.000001181275,0.0002963313,0.4354076,0.0002125766,0.5619415,0.000634053,0.0001520563],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1853744,0.0001287128,0.8115156,0.0003944179,0.0004937404,0.0004409288,0.0004259197,0.00007835455,0.001147835],"genre_scores_gemma":[0.2841828,0.00006875159,0.7151764,0.00004173337,0.00006240815,0.000120276,0.00001859804,0.00003003039,0.0002990284],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4351589,"threshold_uncertainty_score":0.9952818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2901177070113612,"score_gpt":0.4529814715920397,"score_spread":0.1628637645806784,"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."}}