{"id":"W1490201608","doi":"10.7202/028910ar","title":"Wages and Establishment Size","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wage; Economics; Demographic economics; Econometrics; Labour economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001730744,0.00006762594,0.0001036975,0.0001208884,0.0001210099,0.00005576187,0.00005614126,0.0001134246,0.001146027],"category_scores_gemma":[0.0002021897,0.00007824031,0.00002011374,0.0002879449,0.00003863149,0.0002260977,0.00002573242,0.0001524058,0.0005308931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004050577,"about_ca_system_score_gemma":0.00001289066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002364612,"about_ca_topic_score_gemma":0.000004298661,"domain_scores_codex":[0.9994088,0.000004594317,0.0002912778,0.0001635675,0.00002061646,0.0001111388],"domain_scores_gemma":[0.9996347,0.00007788751,0.0001005063,0.0001298128,0.00001843131,0.00003863168],"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":[0.000001868784,0.00004479094,0.1006671,8.98093e-7,0.00001874686,4.351897e-7,0.0003682563,0.0001140962,0.000006811489,0.8568771,0.02912992,0.01276989],"study_design_scores_gemma":[0.0003318938,0.00001480659,0.06528291,0.000005502764,0.000002474355,0.000002521649,0.0001362953,0.000828777,0.0001009061,0.009531355,0.9236275,0.0001350843],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6818491,0.002548714,0.001542106,0.03167681,0.0002033697,0.0002142534,0.00007918311,0.00009944447,0.2817871],"genre_scores_gemma":[0.9839522,0.0001051698,0.001753911,0.000363114,0.00010193,0.000008683835,0.000009177365,0.000008338021,0.0136975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8944976,"threshold_uncertainty_score":0.9997671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742493276014394,"score_gpt":0.2118745323712449,"score_spread":0.184449599611101,"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."}}