{"id":"W1594949792","doi":"10.2139/ssrn.400760","title":"Appendix: Omitted Proofs of 'Testing for a Unit Root in Panels with Dynamic Factors'","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Mathematical proof; Unit root; Dynamic testing; Root (linguistics); Econometrics; Computer science; Mathematics; Calculus (dental); Programming language; Linguistics; Geometry; Philosophy; Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004648052,0.001491529,0.001923514,0.002681697,0.001291879,0.001199038,0.002974977,0.002758565,0.4059863],"category_scores_gemma":[0.111292,0.001457599,0.002531551,0.003008782,0.0008281411,0.002514452,0.001586841,0.002941292,0.153051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002036836,"about_ca_system_score_gemma":0.00433113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01085634,"about_ca_topic_score_gemma":0.009151574,"domain_scores_codex":[0.9961994,0.001149354,0.0004572059,0.0003715422,0.001526584,0.0002958452],"domain_scores_gemma":[0.8794206,0.08608788,0.002746677,0.007262817,0.02371592,0.0007660704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005105665,0.0001746973,0.0005552291,0.0005193103,0.00004804573,0.0002191675,0.0000442708,0.002482507,0.0002655736,0.03096916,0.9411198,0.02355105],"study_design_scores_gemma":[0.001013435,0.0002285623,0.01254094,0.0009009708,0.000171811,0.001729962,0.0001711046,0.01703507,0.003736362,0.3387229,0.6235337,0.0002151883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005029279,0.002239892,0.4184774,0.03360778,0.0291196,0.003595645,0.2717733,0.005561211,0.2305959],"genre_scores_gemma":[0.1455618,0.003899164,0.3574686,0.02666494,0.01562664,0.01080462,0.1669868,0.003614257,0.2693733],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4059863,"threshold_uncertainty_score":0.8472884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05518557303178102,"score_gpt":0.3075310634080508,"score_spread":0.2523454903762698,"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."}}