{"id":"W2046204761","doi":"10.1002/cjs.10039","title":"Inference after variable selection using restricted permutation methods","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases","keywords":"Covariate; Inference; Statistics; Statistical inference; Variable (mathematics); Computer science; Data set; Feature selection; Resampling; Set (abstract data type); Selection (genetic algorithm); Permutation (music); Model selection; Data mining; Sample size determination; Econometrics; Mathematics; Machine learning; Artificial intelligence","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":[0.04879314,0.001888917,0.003011907,0.003785434,0.00193898,0.002836011,0.003843661,0.002130087,0.009268845],"category_scores_gemma":[0.2035204,0.001187336,0.003203886,0.004445148,0.00353306,0.003834984,0.003127864,0.005409229,0.001564053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609166,"about_ca_system_score_gemma":0.004239425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006256529,"about_ca_topic_score_gemma":0.005818958,"domain_scores_codex":[0.9459655,0.04490671,0.001391623,0.003881943,0.003130945,0.0007232322],"domain_scores_gemma":[0.8348089,0.1419521,0.002587835,0.01568437,0.004419169,0.0005476138],"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":[0.0005269817,0.0002918582,0.004894588,0.0005589409,0.0009174824,0.0005334751,0.0006415651,0.1136017,0.001350769,0.5017437,0.00840083,0.3665381],"study_design_scores_gemma":[0.0002364121,0.0001313567,0.0007095577,0.00008231712,0.0001097828,0.0001542693,0.00005884528,0.3579467,0.001070226,0.6346137,0.004843667,0.00004320175],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001559586,0.0000828928,0.9972289,0.00011356,0.0000456761,0.0001163672,0.00005137505,0.0002137816,0.0005878038],"genre_scores_gemma":[0.088295,0.0002856296,0.9075064,0.0002853141,0.0001629598,0.00124237,0.0004612482,0.0002483533,0.001512733],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04879314,"threshold_uncertainty_score":0.2580459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07041852243096688,"score_gpt":0.3972630557808887,"score_spread":0.3268445333499218,"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."}}