{"id":"W1675418920","doi":"10.1016/j.jeca.2009.01.010","title":"Are Liquidity Constraints Holding Women Back? An Analysis of Gender in Self-Employment Earnings","year":2009,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Earnings; Market liquidity; Economics; Demographic economics; Labour economics; Monetary economics; Accounting","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003019577,0.0001374331,0.0007494684,0.001525347,0.00005776393,0.00004679971,0.000357725,0.00007459679,0.0006598113],"category_scores_gemma":[0.0001453656,0.0001254574,0.0001561204,0.0007899816,0.0001031545,0.0004332715,0.00002930549,0.0002249349,0.00003806598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004026581,"about_ca_system_score_gemma":0.00004541383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004220512,"about_ca_topic_score_gemma":0.00001916061,"domain_scores_codex":[0.9981493,0.00005515069,0.001351496,0.0001544285,0.00004632616,0.0002432942],"domain_scores_gemma":[0.9970055,0.0001306668,0.002476394,0.0002429893,0.00006642102,0.00007809582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002179512,0.0003633327,0.9095034,0.00001940964,0.001453841,0.000005740756,0.01032974,0.01018674,0.00005609573,0.0662265,0.0005953647,0.001041877],"study_design_scores_gemma":[0.000844372,0.0002937017,0.9812394,0.00001315038,0.00007136408,0.00000909066,0.00228097,0.002253372,0.0003038799,0.01085562,0.001633948,0.0002011531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957697,0.0002718157,0.0005023794,0.0005142107,0.0001439033,0.00007124056,0.00004097498,0.000006619662,0.002679096],"genre_scores_gemma":[0.998943,0.0001751349,0.0003118963,0.0004302914,0.00006311818,7.904737e-7,0.000002455786,0.000009206727,0.00006409916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07173596,"threshold_uncertainty_score":0.7224471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04908532800937116,"score_gpt":0.2590264380150993,"score_spread":0.2099411100057282,"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."}}