{"id":"W2009266837","doi":"10.1080/03610918.2012.655828","title":"Developments in Maximum Likelihood Unit Root Tests","year":2013,"lang":"en","type":"article","venue":"Communications in Statistics - Simulation and Computation","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Acadia University","funders":"","keywords":"Mathematics; Unit root; Test statistic; Statistic; Applied mathematics; Unit root test; Likelihood-ratio test; Asymptotic distribution; Statistics; Variance (accounting); Statistical hypothesis testing; Algorithm","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":[],"consensus_categories":[],"category_scores_codex":[0.02412417,0.002067248,0.002729745,0.004512084,0.0007874956,0.003998497,0.004644724,0.002911745,0.009797735],"category_scores_gemma":[0.1683784,0.001545778,0.002175007,0.004925656,0.003791524,0.00625092,0.004691752,0.009793013,0.005445351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729911,"about_ca_system_score_gemma":0.002374327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001575679,"about_ca_topic_score_gemma":0.0008929018,"domain_scores_codex":[0.9750339,0.01686634,0.0009520525,0.002033528,0.00473058,0.000383559],"domain_scores_gemma":[0.8907605,0.09359438,0.003110256,0.00489557,0.007097077,0.0005422613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008774116,0.0000940079,0.001741272,0.000672687,0.000193795,0.0002976396,0.0003130753,0.04746869,0.0008433644,0.7209935,0.008481401,0.2188128],"study_design_scores_gemma":[0.00006899821,0.0001071196,0.0009116507,0.0004327704,0.00005769966,0.0003987524,0.00008049418,0.207367,0.001729902,0.7491258,0.03959435,0.000125431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008076442,0.001715015,0.9928478,0.0006522649,0.000243731,0.0000364145,0.0001045622,0.0002753201,0.003317284],"genre_scores_gemma":[0.07375564,0.006085305,0.9087492,0.001127738,0.002339947,0.0006780343,0.0006628205,0.001132305,0.005469128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02412417,"threshold_uncertainty_score":0.1275824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2554958605429539,"score_gpt":0.4863789808080574,"score_spread":0.2308831202651035,"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."}}