{"id":"W3126002596","doi":"10.1111/obes.12220","title":"To Pool or Not to Pool: Revisited","year":2017,"lang":"en","type":"article","venue":"Oxford Bulletin of Economics and Statistics","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Estimator; Pooling; Mathematics; Dimension (graph theory); Panel data; Hausman test; Monte Carlo method; Fixed effects model; Statistics; Econometrics; Combinatorics; 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":[],"category_scores_codex":[0.0004041397,0.0001865676,0.0006698347,0.0001804181,0.0002465844,0.000265371,0.0004561661,0.00007867927,0.00189355],"category_scores_gemma":[0.0006962282,0.0001972734,0.00006935452,0.00004731352,0.00006185683,0.00005025485,0.0002598384,0.00007754384,0.0004747529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003231448,"about_ca_system_score_gemma":0.00001770056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001644921,"about_ca_topic_score_gemma":0.0003985363,"domain_scores_codex":[0.9984813,0.000007669235,0.0007607363,0.0004576023,0.00002060803,0.0002720483],"domain_scores_gemma":[0.9983191,0.0001126487,0.0005428099,0.0007271326,0.00005593533,0.0002423585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006067235,0.0001096072,0.01649364,0.0001357168,0.0002946714,0.00001840542,0.0003507593,0.0003949265,0.00001354263,0.8396713,0.08378366,0.05812709],"study_design_scores_gemma":[0.0004373082,0.0002543918,0.03017722,0.00002313869,0.00002902667,0.000002762965,0.00002994009,0.003409518,0.00006183255,0.006720895,0.9584918,0.0003621851],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7200764,0.0003700741,0.1426201,0.02606551,0.001301318,0.001438671,0.05860582,0.00005363805,0.04946855],"genre_scores_gemma":[0.880608,0.004559513,0.1002867,0.004013601,0.0002808798,0.00002841641,0.0002553111,0.00006571123,0.009901874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8747081,"threshold_uncertainty_score":0.9990188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04697800688269031,"score_gpt":0.2577820679868312,"score_spread":0.2108040611041409,"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."}}