{"id":"W2186734040","doi":"","title":"Female Entrepreneurs' Motives and SME's Growth: An International Study","year":2013,"lang":"en","type":"article","venue":"IRIES institutional repository of scientific publications of Institute of Economic Sciences (Institute of Economic Sciences, Belgrade)","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Entrepreneurship; Government (linguistics); Female entrepreneurs; Census; Demographic economics; Business; Demography; Population; Economic growth; Economics; Sociology; Finance","routes":{"ca_aff":false,"ca_fund":false,"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":[0.001303474,0.0001212517,0.0001911849,0.0009829707,0.0006227205,0.0009560379,0.0001604838,0.0002062981,0.003201675],"category_scores_gemma":[0.002712562,0.0001020055,0.000137173,0.0009576519,0.0004699966,0.0007536318,0.0008539098,0.0002965862,0.0003925921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001757891,"about_ca_system_score_gemma":0.0002403258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001758107,"about_ca_topic_score_gemma":0.003204947,"domain_scores_codex":[0.9995665,0.0001784979,0.00002843048,0.00004357131,0.00006407298,0.0001188222],"domain_scores_gemma":[0.9975864,0.0006982,0.0009457733,0.00008716482,0.0002400335,0.0004424468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001220649,0.0002177963,0.9665936,0.00002508692,0.00001179664,0.000353192,0.01367829,0.00001926815,0.000275791,0.0006340934,0.0004215477,0.01764754],"study_design_scores_gemma":[0.000003524504,0.0001248008,0.9725276,0.00003969895,0.00001027543,0.0005254131,0.02285094,0.00006276552,0.000102749,0.00008721089,0.003659753,0.000005425642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972711,0.0001507937,0.00002271461,0.00007342826,0.000004475741,0.000003025909,0.00003022271,3.62978e-7,0.002443787],"genre_scores_gemma":[0.9988548,0.0002053993,0.0000232727,0.00001717858,0.000008247263,0.00000354448,0.00001984985,0.000001078677,0.0008667806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003201675,"threshold_uncertainty_score":0.01071066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04027156437452481,"score_gpt":0.274501161264764,"score_spread":0.2342295968902392,"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."}}