{"id":"W1591097562","doi":"10.1108/17410401111123535","title":"TFP growth, technological progress and efficiencies change","year":2011,"lang":"en","type":"article","venue":"International Journal of Productivity and Performance Management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Total factor productivity; Allocative efficiency; Economics; Productivity; Production–possibility frontier; Technological change; Technology gap; Panel data; Openness to experience; Technical change; Manufacturing; Labour economics; Econometrics; International trade; Macroeconomics; Business; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001063449,0.0001057747,0.0002040301,0.0003068566,0.00006729422,0.00004871379,0.0002513762,0.00004209495,0.0000405865],"category_scores_gemma":[0.00004309622,0.00009927006,0.00003745563,0.00008572642,0.0002543032,0.0007309938,0.0001714619,0.0001491439,0.00001305164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003433615,"about_ca_system_score_gemma":0.000003986214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001560397,"about_ca_topic_score_gemma":0.000002096447,"domain_scores_codex":[0.9991903,0.00001113926,0.0003419631,0.000248584,0.00006092438,0.0001471358],"domain_scores_gemma":[0.9994099,0.000009803822,0.0003477296,0.0001102574,0.0000747937,0.00004755254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001575586,0.0002503743,0.7116119,0.00009933557,0.0001615991,0.00002060133,0.001239991,8.4629e-7,0.000006266544,0.1472223,0.00005880335,0.1391704],"study_design_scores_gemma":[0.0005439334,0.0003322291,0.9599733,0.00004519775,0.00001369216,0.0001700775,0.000155791,0.0001810884,0.0007379615,0.02755012,0.01008177,0.0002148593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898938,0.002231998,0.0003034956,0.002118127,0.0006755333,0.0001505777,0.000007378255,0.00001385181,0.004605269],"genre_scores_gemma":[0.9964691,0.001629181,0.001454836,0.00005820251,0.0002512975,0.0000126879,5.500788e-7,0.000005910616,0.000118259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2483614,"threshold_uncertainty_score":0.4048115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06488169774386546,"score_gpt":0.2206848751092223,"score_spread":0.1558031773653568,"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."}}