{"id":"W1545237379","doi":"10.3386/w19276","title":"Smart and Illicit: Who Becomes an Entrepreneur and Do They Earn More?","year":2013,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Business; Computer security; Internet privacy; Marketing; Advertising; Computer science","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":[0.0004647419,0.0001226899,0.0001935882,0.001082475,0.0004849579,0.001414293,0.0002144305,0.0003341234,0.004015386],"category_scores_gemma":[0.002362003,0.0001167439,0.0001861343,0.0009303529,0.0005296334,0.001255815,0.000977647,0.0006153757,0.0006493794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001663605,"about_ca_system_score_gemma":0.000321151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002649486,"about_ca_topic_score_gemma":0.008641424,"domain_scores_codex":[0.9997264,0.00004482767,0.00002574357,0.0000321574,0.00005245231,0.000118423],"domain_scores_gemma":[0.9972664,0.000339964,0.001315137,0.00007669163,0.0001109577,0.0008909882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000554655,0.00009203439,0.9858683,0.00001172797,0.00001293268,0.0001822168,0.001614257,0.00002887458,0.0001319012,0.0004201239,0.0004445048,0.01113788],"study_design_scores_gemma":[0.000004994252,0.00006648038,0.9831643,0.00003846573,0.00001528865,0.0003498277,0.01258061,0.0001567564,0.0001121903,0.000541723,0.002962505,0.000006875996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974528,0.000152219,0.00003750409,0.0003030275,0.000009405577,0.000005574311,0.0001393485,0.000001332682,0.001898794],"genre_scores_gemma":[0.9976332,0.0003908274,0.0000833134,0.0001250714,0.0000276823,0.000009198126,0.0002433085,0.000002054914,0.001485333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004015386,"threshold_uncertainty_score":0.0134328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2176889756046232,"score_gpt":0.4432096207339246,"score_spread":0.2255206451293014,"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."}}