{"id":"W139789606","doi":"10.2139/ssrn.2477217","title":"Applied Survey Data Analysis Using Stata: The Kauffman Firm Survey Data","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Survey data collection; Job creation; Business; Marketing; Industrial organization; Economics; Labour economics; Mathematics; Statistics","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":[0.01284532,0.001274539,0.001841083,0.008484184,0.0009712638,0.002332428,0.002304149,0.001339464,0.08557637],"category_scores_gemma":[0.0937481,0.001067958,0.002049691,0.01477655,0.000836946,0.001609135,0.003114352,0.003827232,0.0187404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001982743,"about_ca_system_score_gemma":0.007877326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01412296,"about_ca_topic_score_gemma":0.01239528,"domain_scores_codex":[0.9806644,0.009915698,0.003626367,0.002532052,0.002017078,0.001244469],"domain_scores_gemma":[0.9288394,0.03086071,0.008644826,0.01820959,0.01218249,0.001262849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00125434,0.001437406,0.07436616,0.003422506,0.001258778,0.0006233482,0.003116569,0.01657753,0.001669354,0.03350595,0.6069359,0.2558322],"study_design_scores_gemma":[0.001932036,0.001450255,0.1763326,0.002202924,0.0009008173,0.0006290895,0.004814924,0.04368496,0.006176818,0.05112116,0.7103773,0.0003771222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.05575971,0.0003228511,0.2196279,0.002097481,0.000900359,0.02728206,0.6617328,0.008841406,0.02343554],"genre_scores_gemma":[0.1932212,0.000594252,0.4165903,0.001476415,0.0004590244,0.1204696,0.2336363,0.00468891,0.02886392],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.08557637,"threshold_uncertainty_score":0.2862815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1413663077415389,"score_gpt":0.2910869451131584,"score_spread":0.1497206373716195,"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."}}