{"id":"W7008824033","doi":"","title":"A comparative study of some existing post-model-selection inferential methods in linear regression models","year":2016,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Mathematical Sciences; McGill University","keywords":"Inference; Statistical inference; Confidence interval; Regression analysis; Regression; Linear regression; Coverage probability; Prediction interval; Confidence and prediction bands; Fiducial inference","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.05459173,0.00133094,0.00172608,0.003790339,0.0009226891,0.003526641,0.004134648,0.002064069,0.002228238],"category_scores_gemma":[0.1571889,0.0008371545,0.001837805,0.004193051,0.003256347,0.005600891,0.002823207,0.004033271,0.0005381638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002237013,"about_ca_system_score_gemma":0.002705295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002117436,"about_ca_topic_score_gemma":0.002194685,"domain_scores_codex":[0.9665148,0.02471445,0.001276862,0.002277584,0.004831829,0.0003844696],"domain_scores_gemma":[0.762576,0.2218284,0.00317079,0.006311086,0.005584698,0.0005288537],"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":[0.0001931301,0.0001621859,0.004763227,0.001296525,0.0003112829,0.0002023956,0.001411675,0.07950572,0.0007705505,0.5478603,0.00140143,0.3621216],"study_design_scores_gemma":[0.00004509367,0.0003329674,0.002548464,0.0004949848,0.0001424178,0.0002938875,0.0002913805,0.6443964,0.002071238,0.3406732,0.008608978,0.0001008569],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005921294,0.006441866,0.9845333,0.0006598445,0.00004461512,0.00005149321,0.00004275204,0.0001691126,0.002135891],"genre_scores_gemma":[0.2111749,0.01285614,0.7729472,0.0004356865,0.0004287257,0.0004150073,0.00024507,0.0002604194,0.00123687],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05459173,"threshold_uncertainty_score":0.2887121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1369471736663704,"score_gpt":0.4446676530911837,"score_spread":0.3077204794248133,"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."}}