{"id":"W4406462859","doi":"10.2139/ssrn.5097026","title":"Online Appendix for: 'Measuring Small Business Dynamics and Employment with Private-Sector Real-Time Data'","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; York University","funders":"","keywords":"Dynamics (music); Private sector; Business; Economics; Economic growth; Sociology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001681903,0.0009009723,0.000976222,0.004588078,0.0005782601,0.001389763,0.002379393,0.001800437,0.7218445],"category_scores_gemma":[0.02285988,0.0009677025,0.0007399417,0.009550645,0.000346148,0.001869161,0.001974755,0.001267528,0.4304038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103264,"about_ca_system_score_gemma":0.003103822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02104062,"about_ca_topic_score_gemma":0.03364196,"domain_scores_codex":[0.9988596,0.0001527029,0.0002745733,0.0001497128,0.0003960302,0.0001673338],"domain_scores_gemma":[0.9699883,0.01760955,0.002043953,0.001945143,0.007115773,0.001297392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004959933,0.00008769647,0.001057092,0.0003904206,0.000009320388,0.00003082272,0.00003380407,0.0003705725,0.0001058525,0.0005265779,0.9882066,0.009131652],"study_design_scores_gemma":[0.0008881874,0.00013093,0.04917495,0.0006013331,0.00003770543,0.00022265,0.0004353385,0.001562821,0.001050381,0.005767031,0.9400072,0.0001215447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005438413,0.00002706172,0.0009407424,0.0002871364,0.0001702199,0.0001792941,0.9913241,0.0007587902,0.005768824],"genre_scores_gemma":[0.006267247,0.0002109645,0.006247811,0.0004950947,0.0002109065,0.001065837,0.9511873,0.0008576553,0.03345722],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7218445,"threshold_uncertainty_score":0.396755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03022629725645927,"score_gpt":0.2306968751428922,"score_spread":0.2004705778864329,"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."}}