{"id":"W3129502039","doi":"10.1002/cjs.11765","title":"PCA Rerandomization","year":2023,"lang":"en","type":"preprint","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mahalanobis distance; Covariate; Principal component analysis; Curse of dimensionality; Computer science; Linear subspace; Pattern recognition (psychology); Simplicity; Data mining; Artificial intelligence; Mathematics; Algorithm; Statistics; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009887232,0.00116354,0.001741923,0.001376918,0.0007785681,0.001020465,0.001457273,0.000886916,0.008354131],"category_scores_gemma":[0.03632894,0.000426004,0.001268157,0.001526532,0.001506608,0.001048423,0.002022766,0.002012528,0.00197211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007022139,"about_ca_system_score_gemma":0.001408629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001767919,"about_ca_topic_score_gemma":0.001602548,"domain_scores_codex":[0.9900975,0.006310402,0.0004057378,0.001515543,0.001274382,0.0003963922],"domain_scores_gemma":[0.9845558,0.006610814,0.001115116,0.00541604,0.002064019,0.0002380677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002262551,0.0004197251,0.007682218,0.0006149159,0.0005917278,0.0002574839,0.0005326645,0.09327839,0.01916397,0.1669314,0.01683593,0.691429],"study_design_scores_gemma":[0.0006421302,0.00150969,0.0110839,0.0002858018,0.0003774971,0.0005824384,0.0002619661,0.6442757,0.04173692,0.2481181,0.05093858,0.0001874655],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01471984,0.0003861315,0.9810436,0.0003621385,0.000174243,0.0007175428,0.0002569911,0.0006182111,0.001721341],"genre_scores_gemma":[0.3883911,0.0005995274,0.5936596,0.0009286264,0.0003273331,0.004053506,0.001421767,0.0004743043,0.01014416],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009887232,"threshold_uncertainty_score":0.05228931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1926287538999322,"score_gpt":0.3641936247520571,"score_spread":0.1715648708521249,"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."}}