{"id":"W2942821418","doi":"","title":"Returns to Scale from Labor Specialization: Evidence from Global Asset Management","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Scale (ratio); Business; Asset (computer security); Returns to scale; Economics; Asset management; Labour economics; Finance; Macroeconomics; Production (economics); Computer science; 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":[0.001339486,0.0003250287,0.0004351027,0.001463908,0.0002997129,0.001234192,0.0003751699,0.0005355155,0.009605065],"category_scores_gemma":[0.00966734,0.0001572582,0.000444074,0.001937326,0.001641738,0.001198177,0.001209661,0.0009222057,0.0008603402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003693947,"about_ca_system_score_gemma":0.0002468497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0038478,"about_ca_topic_score_gemma":0.004128148,"domain_scores_codex":[0.9996038,0.0001120406,0.00002297162,0.00008314633,0.00009514172,0.0000829514],"domain_scores_gemma":[0.9789676,0.01167187,0.005592447,0.001698684,0.0008022975,0.001267084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001337321,0.0002385747,0.8828183,0.0002046199,0.0004435455,0.0004233944,0.001529913,0.004169575,0.001172026,0.009020615,0.002762269,0.09587993],"study_design_scores_gemma":[0.00003258177,0.0001147638,0.9878473,0.00003303768,0.00008502239,0.00007099883,0.0008215178,0.0005856003,0.0002518064,0.008750518,0.001396721,0.00001010199],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819905,0.001543039,0.0005455068,0.0008022908,0.00001280348,0.00001103289,0.0003123176,0.00001711124,0.01476545],"genre_scores_gemma":[0.9981959,0.0006142358,0.00007439534,0.00007829961,0.00003326179,0.00000439847,0.000183904,0.000006790683,0.0008086778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009605065,"threshold_uncertainty_score":0.03213221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446213299452442,"score_gpt":0.2198625728393316,"score_spread":0.2054004398448072,"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."}}