{"id":"W4391661755","doi":"10.2139/ssrn.4701452","title":"Recent Trends in Firm-Level Total Factor Productivity in the United Kingdom: New Measures, New Puzzles","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"","keywords":"Total factor productivity; Revenue; Productivity; Economics; Returns to scale; Industrial organization; Panel data; Quality (philosophy); Econometrics; Technical change; Business; Production (economics); Microeconomics; Macroeconomics; Finance","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":[0.001356635,0.000314212,0.0005227418,0.003241421,0.0002649664,0.002299387,0.0005169057,0.0009121447,0.002553741],"category_scores_gemma":[0.008355044,0.0002683557,0.0004195797,0.008477821,0.0005627005,0.001953963,0.0007789993,0.0007244273,0.0006889767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002794037,"about_ca_system_score_gemma":0.0009170408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1488193,"about_ca_topic_score_gemma":0.2009609,"domain_scores_codex":[0.9992747,0.00007625387,0.0002060108,0.0001624565,0.0001495133,0.0001311197],"domain_scores_gemma":[0.9890451,0.002074905,0.004195127,0.0004449658,0.003738589,0.0005013319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005540407,0.0000403558,0.9475819,0.0006647043,0.000307436,0.0002299796,0.001394645,0.002071061,0.001005745,0.001709437,0.006886881,0.03755384],"study_design_scores_gemma":[0.000004121066,0.00002727603,0.9947403,0.000050872,0.00003354903,0.00006557522,0.0004135107,0.0003471646,0.0001415154,0.00007182817,0.004093538,0.00001080594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655175,0.01567626,0.0004263887,0.003507874,0.0001280692,0.000006018643,0.0107068,0.00004436957,0.003986738],"genre_scores_gemma":[0.9842203,0.006905185,0.0002832426,0.0003431605,0.0001545015,0.000006332167,0.006507044,0.000015688,0.001564585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1488193,"threshold_uncertainty_score":0.2959061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1132765519367276,"score_gpt":0.2721427799679565,"score_spread":0.1588662280312289,"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."}}