{"id":"W2227665711","doi":"","title":"Q&A. Why Is There a Dearth of Women on High-Growth Technology Startup Teams?","year":2010,"lang":"en","type":"article","venue":"The open source business resource","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000618718,0.0003909794,0.000542941,0.0003357664,0.0006046516,0.0005122784,0.002109708,0.0001969371,0.0009820102],"category_scores_gemma":[0.0002217237,0.0002633495,0.00009009549,0.001806831,0.000534184,0.0005016956,0.001489908,0.0004059886,0.0002868434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003626981,"about_ca_system_score_gemma":0.00003678377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004935083,"about_ca_topic_score_gemma":0.0008859499,"domain_scores_codex":[0.997683,0.00002859556,0.0004603862,0.0006015702,0.0004766143,0.0007498623],"domain_scores_gemma":[0.997788,0.0001341057,0.0005262535,0.001034171,0.0004852185,0.0000322186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001540339,0.001468408,0.6226215,0.0009339392,0.000722286,0.00005766061,0.00449818,0.0009394955,0.00586058,0.06101769,0.2046643,0.09567567],"study_design_scores_gemma":[0.0007832508,0.00003798742,0.03731093,0.0001057747,0.00004585273,0.000004084433,0.003023477,0.00008058443,0.0002642201,0.00264547,0.9553262,0.000372192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657539,0.0001284896,0.00005298626,0.0160364,0.0002184695,0.0005682303,0.000007215963,0.000177836,0.01705652],"genre_scores_gemma":[0.9827777,0.00002251015,0.00006025573,0.01497942,0.000606481,0.0001103245,0.000008040952,0.00007280296,0.001362421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7506619,"threshold_uncertainty_score":0.9999819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008764495694890032,"score_gpt":0.2133666548550114,"score_spread":0.2046021591601214,"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."}}