{"id":"W4399974167","doi":"10.2139/ssrn.4874242","title":"Dynamic Identification in VARs","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Control Systems and Identification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; University of British Columbia","funders":"","keywords":"Identification (biology); Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0009619425,0.00007298013,0.00007860846,0.0002179943,0.00003210158,0.0001567114,0.0001019018,0.00004273473,0.00001200721],"category_scores_gemma":[0.000009914206,0.00007217984,0.00005079301,0.0002331415,0.00000542228,0.0002472069,0.000003929373,0.0007315067,0.0001592852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159277,"about_ca_system_score_gemma":0.0001909583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002746441,"about_ca_topic_score_gemma":0.001406534,"domain_scores_codex":[0.9988057,0.00002059308,0.0002700161,0.0001015639,0.0001100294,0.0006921156],"domain_scores_gemma":[0.9998334,0.00001313748,0.00001865704,0.00009505558,0.00001676849,0.00002294702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001448484,0.00004506051,0.0006107572,0.0001928334,0.0003523672,0.00002442901,0.0009014849,0.01710822,0.1496846,0.2434603,0.000846315,0.5867592],"study_design_scores_gemma":[0.000549876,0.00004895738,0.01330638,0.0001952039,0.00004907711,0.0006462566,0.001028926,0.7171591,0.0002501171,0.2540848,0.01228024,0.0004011251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7993023,0.05180931,0.1437823,0.0005383501,0.00273013,0.0002343701,0.000003061535,0.000366915,0.001233217],"genre_scores_gemma":[0.9949868,0.003205931,0.000007181892,0.000002201861,0.00008945323,0.0000103981,0.0000043789,0.00002229126,0.001671331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7000508,"threshold_uncertainty_score":0.3178073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002459796317879458,"score_gpt":0.2048196273195278,"score_spread":0.2023598310016483,"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."}}