{"id":"W3122462744","doi":"","title":"Competition, Firm Turnover and Productivity Growth","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Competition (biology); Labour economics; Economics; Turnover; Industrial organization; Business; Macroeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00114117,0.0002055861,0.0003952267,0.001169569,0.0004358773,0.001713956,0.0002877286,0.0006460589,0.002915803],"category_scores_gemma":[0.008775084,0.0000904035,0.0002448848,0.001800791,0.001063976,0.001027912,0.0008015407,0.0007270084,0.0004060622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001823414,"about_ca_system_score_gemma":0.0008766088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009329494,"about_ca_topic_score_gemma":0.007143029,"domain_scores_codex":[0.9990514,0.0002207093,0.00003986066,0.0001155825,0.0002469068,0.0003254979],"domain_scores_gemma":[0.9855201,0.007417934,0.004608184,0.0003424051,0.001030495,0.001080935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006379679,0.0004143738,0.7954612,0.0003635454,0.0002683323,0.0009572142,0.002399327,0.01750035,0.003538935,0.06833049,0.005119613,0.1050087],"study_design_scores_gemma":[0.00007119462,0.0003197929,0.8744705,0.000152084,0.000104274,0.0007816944,0.002256481,0.02575586,0.001548642,0.08329157,0.0111745,0.00007335209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966975,0.003513049,0.004841163,0.001429468,0.00003198417,0.00001740838,0.000424421,0.00003660641,0.02273108],"genre_scores_gemma":[0.99791,0.0003907608,0.0001789769,0.0000436214,0.00002738983,0.000005449642,0.0001270884,0.000003442472,0.001313346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009329494,"threshold_uncertainty_score":0.0185504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03529941535752609,"score_gpt":0.267074074317265,"score_spread":0.2317746589597389,"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."}}