{"id":"W3171631375","doi":"10.1002/jae.2985","title":"Multiple testing with covariate adjustment in experimental economics","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Covariate; Null hypothesis; Statistics; Statistical hypothesis testing; Null (SQL); Econometrics; Multiple comparisons problem; Statistical power; Mathematics; Alternative hypothesis; Sample size determination; Computer science; Data mining","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06494971,0.001070228,0.002135667,0.001747653,0.000900602,0.002353774,0.002939636,0.002273213,0.008212],"category_scores_gemma":[0.2203768,0.0006993462,0.002116395,0.002435646,0.005625572,0.004282141,0.002822978,0.003924307,0.0005721132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003146489,"about_ca_system_score_gemma":0.003221313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001899855,"about_ca_topic_score_gemma":0.001202405,"domain_scores_codex":[0.9005677,0.08604086,0.001892485,0.0050396,0.005740995,0.0007183916],"domain_scores_gemma":[0.7522569,0.2040467,0.01304681,0.02388903,0.005700301,0.001060211],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005242116,0.0003214494,0.006364784,0.0006412529,0.0005365518,0.0002517446,0.0004059537,0.03253458,0.001341385,0.8515545,0.002342914,0.1031806],"study_design_scores_gemma":[0.000164223,0.0002376831,0.003126018,0.00009531611,0.00008787517,0.00005489949,0.00006276455,0.07721886,0.0008940127,0.9138393,0.004178926,0.00004004107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01678113,0.0008213353,0.9736643,0.002441178,0.0001854591,0.0003140917,0.0002502183,0.0003181261,0.005224109],"genre_scores_gemma":[0.4615365,0.0009910577,0.5314015,0.0009404069,0.0004445522,0.001691471,0.0001634196,0.0001470175,0.002684115],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9350503,"threshold_uncertainty_score":0.343491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2636212041580691,"score_gpt":0.3624735762627784,"score_spread":0.09885237210470932,"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."}}