{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002195634,0.0002608511,0.0005096367,0.0007247087,0.0002606694,0.0005513827,0.0003697676,0.0002095931,0.0005287972],"category_scores_gemma":[0.0007368291,0.0002276322,0.00008213019,0.0001120364,0.0003714919,0.0009641008,0.0006183099,0.0003942618,0.00009898013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001350557,"about_ca_system_score_gemma":0.0002442339,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01251259,"about_ca_topic_score_gemma":0.000933377,"domain_scores_codex":[0.9973955,0.00003950536,0.0005310219,0.0006856071,0.0009613365,0.0003870117],"domain_scores_gemma":[0.997476,0.000431021,0.0003577729,0.0002891648,0.001404849,0.00004112528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005720501,0.0001248469,0.6850268,0.0009879785,0.0004350965,0.000007428525,0.0003105897,0.0001203655,0.00004552702,0.1902784,0.0997311,0.02287463],"study_design_scores_gemma":[0.001055955,0.0001089355,0.3313006,0.0005093022,0.0000993171,0.00002640097,0.001177332,0.0009829904,0.00003056853,0.3686983,0.2950543,0.0009559635],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5628783,0.002852713,1.096401e-7,0.002731339,0.0003606268,0.0006014082,0.0000393322,0.00002929713,0.4305069],"genre_scores_gemma":[0.9826187,0.009518489,0.00002538508,0.0002010476,0.002242569,0.00009620592,0.0001737315,0.00005010003,0.005073756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4254332,"threshold_uncertainty_score":0.9940632,"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."}}