{"id":"W2744811808","doi":"10.2139/ssrn.1153335","title":"A Powerful Test of the Autoregressive Unit Root Hypothesis Based on a Tuning Parameter Free Statistic","year":2008,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Autoregressive model; Mathematics; Unit root; Augmented Dickey–Fuller test; Nonparametric statistics; Unit root test; Statistic; Test statistic; Statistics; Asymptotic distribution; Applied mathematics; Nuisance parameter; Distribution (mathematics); Statistical hypothesis testing; Econometrics; Mathematical analysis; Cointegration","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0019689,0.0004663311,0.0005937945,0.0002942974,0.0002675242,0.0001644336,0.003784028,0.0002893597,0.0000121753],"category_scores_gemma":[0.001792252,0.0003136921,0.0004465186,0.0003031974,0.000156136,0.0001128367,0.0007577604,0.00543199,0.00000531119],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006526493,"about_ca_system_score_gemma":0.007534039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006397189,"about_ca_topic_score_gemma":0.0001427105,"domain_scores_codex":[0.9953024,0.0008116251,0.0006071249,0.0006005334,0.0008196955,0.001858658],"domain_scores_gemma":[0.9949843,0.001749443,0.001042825,0.001834957,0.0002487618,0.000139758],"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":[0.0002308322,0.001258172,0.003497785,0.0002423538,0.001211118,0.0002660304,0.002634264,0.0122421,0.0007720771,0.4068952,0.003285675,0.5674644],"study_design_scores_gemma":[0.0006831405,0.0004801943,0.001767834,0.0005303644,0.00008521383,0.0004329496,0.00001772423,0.1058324,0.0004407713,0.889136,0.0001708422,0.0004226398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004471983,0.0008324163,0.9911068,0.001382391,0.0006348069,0.0002982834,0.00003634752,0.00004517817,0.001191792],"genre_scores_gemma":[0.7122262,0.0005429328,0.2856044,0.0004177278,0.0002835128,0.00001944402,0.000002176986,0.00006786607,0.000835746],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7077543,"threshold_uncertainty_score":0.9999315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02017685881715727,"score_gpt":0.2564636422306796,"score_spread":0.2362867834135224,"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."}}