{"id":"W1491209742","doi":"10.1111/j.1475-4991.2011.00491.x","title":"LIQUIDITY CONSTRAINTS, HOUSEHOLD WEALTH, AND ENTREPRENEURSHIP REVISITED","year":2012,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":279,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Market liquidity; Economics; Constraint (computer-aided design); Liquidity constraint; Asset (computer security); Current Population Survey; Distribution (mathematics); Entrepreneurship; Population; Monetary economics; Econometrics; Demographic economics; Finance","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":[0.001048614,0.0001861149,0.0005241577,0.0000840789,0.0001448497,0.00003914239,0.0001189073,0.00004561764,0.0001159533],"category_scores_gemma":[0.0002319172,0.0001427408,0.00006752875,0.0002499025,0.0001962519,0.000547283,0.0001889254,0.0001198912,0.00001884259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001011873,"about_ca_system_score_gemma":0.00001520259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001522803,"about_ca_topic_score_gemma":0.000005337304,"domain_scores_codex":[0.9987017,0.00004191031,0.0004937495,0.0002334999,0.0001826125,0.0003465159],"domain_scores_gemma":[0.9991156,0.0000972505,0.0004219569,0.0002357373,0.00007499784,0.00005444792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008709775,0.00004910804,0.925985,0.0239347,0.00002401169,0.000001100028,0.00003623449,1.066436e-7,0.00001723587,0.009957295,0.002094117,0.03789232],"study_design_scores_gemma":[0.0007210036,0.00007319686,0.7615499,0.0325743,0.0003381625,0.00002902508,0.0001830413,0.00001003055,0.00004967364,0.0007799555,0.2030876,0.0006040821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.549976,0.4443815,0.000004057963,0.002139985,0.0001694227,0.0004013055,0.00001237546,0.00005407226,0.00286126],"genre_scores_gemma":[0.6321751,0.3629217,0.00003652115,0.004476352,0.0003565046,0.000007123539,0.000007195049,0.000009095743,0.00001035842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2009934,"threshold_uncertainty_score":0.5820803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02994540271704572,"score_gpt":0.2683447696480886,"score_spread":0.2383993669310429,"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."}}