{"id":"W3124913914","doi":"","title":"The Firm Size Distribution Across Countries and Skill-Biased Change in Entrepreneurial Technology","year":2014,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Entrepreneurship; Economics; Distribution (mathematics); Per capita income; Skewness; Per capita; Demographic economics; Labour economics; Frontier; Income distribution; Technological change; Econometrics; Macroeconomics; Population; Inequality; Geography","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":[0.001666844,0.0001018798,0.0003383512,0.001424738,0.0002459356,0.001164233,0.0002450646,0.0004271709,0.002245232],"category_scores_gemma":[0.01146536,0.0001509026,0.0004049061,0.001422961,0.001002141,0.001208674,0.0009779013,0.0004372773,0.000290493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003245717,"about_ca_system_score_gemma":0.0001728279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003097879,"about_ca_topic_score_gemma":0.002459793,"domain_scores_codex":[0.9993079,0.0002178473,0.00005445482,0.0001660673,0.00008646274,0.0001672581],"domain_scores_gemma":[0.9887823,0.00451266,0.004063817,0.001250657,0.0007434064,0.0006470168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001981614,0.00005048038,0.9548583,0.00003724387,0.0002629705,0.0003532135,0.0006825485,0.007641892,0.001026628,0.013726,0.001268722,0.01989393],"study_design_scores_gemma":[0.00002536594,0.00005088498,0.97916,0.00003371214,0.00005165318,0.0002414566,0.0007810512,0.004156348,0.0004460971,0.01373453,0.001298785,0.00002017164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949299,0.0003741639,0.00123182,0.0003238306,0.000007461502,0.000004695627,0.0002415763,0.000009935163,0.002876604],"genre_scores_gemma":[0.9994198,0.0001158937,0.00009325677,0.00003354629,0.000006304875,0.000002124447,0.0001397046,0.000002507435,0.0001869252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003097879,"threshold_uncertainty_score":0.008815229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338350576514858,"score_gpt":0.2868613972943764,"score_spread":0.2634778915292278,"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."}}