{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00227108,0.0003372667,0.0007452791,0.001004532,0.000176385,0.000261141,0.000448503,0.000464128,0.0002028095],"category_scores_gemma":[0.0004982988,0.0004382184,0.0001259177,0.000299951,0.0004019237,0.0002186844,0.0007924373,0.00155458,0.00006858639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006628815,"about_ca_system_score_gemma":0.0001427748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006305763,"about_ca_topic_score_gemma":0.000442242,"domain_scores_codex":[0.996762,0.00007576797,0.001061374,0.001359195,0.00008527033,0.0006563644],"domain_scores_gemma":[0.9983075,0.0001697146,0.00042349,0.0008284748,0.0001512725,0.0001195689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007684055,0.0005665006,0.5180442,0.0007688807,0.0001380273,0.000023769,0.0003651931,0.0005594688,0.00002096994,0.4565398,0.002059447,0.02083685],"study_design_scores_gemma":[0.001236171,0.00009378025,0.5709302,0.0001688847,0.000004582477,0.00001596365,0.00006042072,0.004073057,0.00008738049,0.2473526,0.1748897,0.001087204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6733736,0.000709793,0.0000438191,0.002465841,0.0007446951,0.0008224727,0.0004728127,0.00006369273,0.3213032],"genre_scores_gemma":[0.992423,0.001864566,0.0006158534,0.0001550575,0.0004166583,0.0001648347,0.0002233874,0.00007232866,0.004064312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3190494,"threshold_uncertainty_score":0.9998069,"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."}}