{"id":"W4400131760","doi":"10.1214/24-ejs2253","title":"Post-selection inference for e-value based confidence intervals","year":2024,"lang":"en","type":"article","venue":"Electronic Journal of Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematics; Confidence interval; Inference; Statistics; Selection (genetic algorithm); Value (mathematics); Confidence distribution; Artificial intelligence; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06045689,0.001715687,0.002331351,0.003389304,0.001127728,0.003971824,0.004890773,0.003268417,0.003859556],"category_scores_gemma":[0.3476971,0.001179669,0.001708344,0.003008073,0.005930889,0.005968892,0.005075202,0.008233076,0.0007000543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001891617,"about_ca_system_score_gemma":0.002030562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001459581,"about_ca_topic_score_gemma":0.0009062337,"domain_scores_codex":[0.9576159,0.02792033,0.00168038,0.006203548,0.005687006,0.000892785],"domain_scores_gemma":[0.5841172,0.3632276,0.0154479,0.02941284,0.006552223,0.001242248],"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":[0.0005234916,0.0002265514,0.01563202,0.0006295733,0.0005562321,0.0004377905,0.001001693,0.118314,0.00379649,0.6119792,0.002590561,0.2443124],"study_design_scores_gemma":[0.0001590381,0.0002625172,0.003091868,0.0002435476,0.0001196056,0.0002352194,0.00009410282,0.5892811,0.01080709,0.3918032,0.003806773,0.00009595993],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006536818,0.0002104055,0.9917985,0.0001949185,0.00003606273,0.0000668998,0.00007173366,0.0003126762,0.0007719302],"genre_scores_gemma":[0.3324209,0.0004115191,0.664108,0.000492058,0.000251109,0.0005327183,0.0004093612,0.0003175077,0.001056813],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9395431,"threshold_uncertainty_score":0.3197304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2522498838553947,"score_gpt":0.5428647165319656,"score_spread":0.2906148326765708,"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."}}