{"id":"W4245729715","doi":"10.1016/j.csda.2010.05.023","title":"The Fifth Special Issue on Computational Econometrics","year":2010,"lang":"en","type":"article","venue":"Computational Statistics & Data Analysis","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Econometrics; Mathematics; Mathematical economics; Applied mathematics; Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002408248,0.0001671324,0.0002817099,0.0006122656,0.0009579437,0.0009285124,0.002151301,0.00006202192,0.003079275],"category_scores_gemma":[0.004352768,0.0001197145,0.0001121114,0.003375344,0.0002971529,0.0001805028,0.0004648385,0.000315064,0.001164086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003225028,"about_ca_system_score_gemma":0.0001428958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008937818,"about_ca_topic_score_gemma":0.000685931,"domain_scores_codex":[0.9966158,0.00009992833,0.0008312602,0.0007346264,0.001483717,0.0002346656],"domain_scores_gemma":[0.9874151,0.009831614,0.0004569297,0.001388378,0.0007643518,0.0001436196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008800843,0.00007078397,0.002793953,7.140963e-7,0.0001624542,0.000002217796,0.00003420401,0.1580698,2.25373e-7,0.301632,0.4179132,0.1193117],"study_design_scores_gemma":[0.00004828528,0.00001257907,0.02425105,4.540325e-7,0.00007396749,0.00000121692,0.000007835082,0.4334118,2.098808e-7,0.2523331,0.2897826,0.00007686916],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001910231,0.000008757961,0.98128,0.002023062,0.0003551428,0.0001516525,0.01142077,0.00004640256,0.002804013],"genre_scores_gemma":[0.1984982,0.00001637009,0.7819244,0.0006038266,0.002424558,0.00002432438,0.01514806,0.00002317075,0.001337113],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2753421,"threshold_uncertainty_score":0.9996136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1751548125379856,"score_gpt":0.4302398884018205,"score_spread":0.2550850758638349,"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."}}