{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006178046,0.000145612,0.0003053728,0.0003042267,0.0001334266,0.0001165579,0.0001355173,0.0001029755,0.0004900186],"category_scores_gemma":[0.007608682,0.0001362257,0.00003585715,0.000447877,0.00006494312,0.0001610302,0.000004096847,0.0003282431,0.000002463625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002488971,"about_ca_system_score_gemma":0.001566157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006899937,"about_ca_topic_score_gemma":0.0006200561,"domain_scores_codex":[0.9984491,0.0003191,0.0005973417,0.0001219159,0.0001918556,0.0003206136],"domain_scores_gemma":[0.9969966,0.00127281,0.0003576465,0.0001098769,0.0007857653,0.0004772349],"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":[0.00003391548,0.00002531605,0.0009224158,0.00003898023,0.00003056982,0.0001559711,0.0003567691,0.00005276442,0.001119877,0.9058055,0.001281023,0.09017686],"study_design_scores_gemma":[0.0002095557,0.0002546043,0.01043703,0.0001101665,0.0001271569,0.0001685741,0.00004787953,0.01072857,0.0001723833,0.9770805,0.0004957301,0.0001679049],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002791541,0.00005506601,0.9961591,0.00005969071,0.0002699135,0.00008234174,0.000140672,0.000007969096,0.0004336938],"genre_scores_gemma":[0.08999884,0.000005256019,0.9097016,0.0001288631,0.0001178915,9.129044e-7,0.000002676327,0.00001316765,0.00003077976],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09000895,"threshold_uncertainty_score":0.9108853,"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."}}