{"id":"W3125445180","doi":"10.3386/w22446","title":"Does Career Risk Deter Potential Entrepreneurs?","year":2016,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Business; Economics; Actuarial science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001716502,0.0001127928,0.0003418947,0.000480951,0.0008332533,0.00124768,0.0003609383,0.001178251,0.006083081],"category_scores_gemma":[0.01750048,0.000156825,0.0002333732,0.0004893318,0.0006182083,0.0008693177,0.0007796257,0.001423251,0.0006877833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005225562,"about_ca_system_score_gemma":0.001203118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007235475,"about_ca_topic_score_gemma":0.01927806,"domain_scores_codex":[0.9990311,0.0002838374,0.00004469477,0.00009867893,0.0001862531,0.0003554985],"domain_scores_gemma":[0.9884492,0.004143438,0.004448669,0.0003797349,0.0005180379,0.002061015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000149767,0.0004192628,0.9380428,0.00005080427,0.00003405884,0.0001493115,0.001202143,0.0002210198,0.0001748871,0.006332702,0.003903251,0.04932011],"study_design_scores_gemma":[0.00003713683,0.0002404447,0.9741808,0.0002146735,0.00004060315,0.0003152434,0.00534645,0.001099437,0.0002461059,0.009258467,0.009003643,0.00001696855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627358,0.001113088,0.0005441737,0.0205605,0.00005393113,0.00003609181,0.0003863999,0.000006286811,0.01456369],"genre_scores_gemma":[0.9965335,0.0006279512,0.0001209612,0.0007584223,0.00005497719,0.00001022826,0.000102798,0.000001711973,0.001789305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007235475,"threshold_uncertainty_score":0.02034992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2151658282341124,"score_gpt":0.4219979394647745,"score_spread":0.2068321112306621,"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."}}