{"id":"W4220850040","doi":"10.1177/10422587221077222","title":"Gender Differences in Enterprise Performance During the COVID-19 Crisis: Do Public Policy Responses Matter?","year":2022,"lang":"en","type":"article","venue":"Entrepreneurship Theory and Practice","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Pandemic; Livelihood; Coronavirus disease 2019 (COVID-19); Entrepreneurship; Public health; Public policy; Women entrepreneurs; Business; Crisis response; Economic growth; Development economics; Political science; Demographic economics; Economics; Public relations; Geography; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00248594,0.0001110368,0.0002441104,0.0003343822,0.0005959578,0.001346065,0.0002843452,0.0006650774,0.004180931],"category_scores_gemma":[0.00806084,0.00007100545,0.0001554511,0.0005118889,0.0008424043,0.001217255,0.001009825,0.0009372932,0.0005041557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009925115,"about_ca_system_score_gemma":0.001189724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0134036,"about_ca_topic_score_gemma":0.01718466,"domain_scores_codex":[0.9987479,0.0004611447,0.00002731294,0.000103354,0.00009714274,0.000563073],"domain_scores_gemma":[0.9955616,0.001772747,0.001237722,0.0001733049,0.000345218,0.0009093519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005069039,0.0003647445,0.93858,0.00005121799,0.00005664721,0.0004030125,0.006671968,0.00130761,0.0005574317,0.01304354,0.004826684,0.03363019],"study_design_scores_gemma":[0.00001314609,0.0001640083,0.9669231,0.00008710696,0.00001770823,0.00005778321,0.02121338,0.00126536,0.0004049547,0.004834935,0.00500459,0.00001395234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826608,0.0004851824,0.0002352093,0.008478483,0.00004790933,0.000009064343,0.0002263926,0.000003163442,0.007853732],"genre_scores_gemma":[0.9991477,0.0001190885,0.00001758637,0.0001481313,0.0000143632,0.000002467257,0.00004215867,0.00000128958,0.0005071864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0134036,"threshold_uncertainty_score":0.02665114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07933539171655202,"score_gpt":0.3059997279339837,"score_spread":0.2266643362174317,"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."}}