{"id":"W3126102962","doi":"","title":"Which Gender Differences Matter for High Tech Entrepreneurship","year":2011,"lang":"en","type":"article","venue":"˜The œopen source business resource","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; 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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000575449,0.0004969345,0.0005167878,0.0001837617,0.001002045,0.001154141,0.002452328,0.0001470424,0.001730072],"category_scores_gemma":[0.0001271609,0.0003340177,0.0001279311,0.001167044,0.000241829,0.0008892221,0.001589976,0.0001803708,0.0007516128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002395859,"about_ca_system_score_gemma":0.00002567978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003957085,"about_ca_topic_score_gemma":0.0007738331,"domain_scores_codex":[0.9973117,0.00004748061,0.0005405165,0.0008657586,0.0004320904,0.0008024696],"domain_scores_gemma":[0.9977594,0.0001979606,0.0004839923,0.0009634693,0.0005612104,0.00003397953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000384851,0.0002478835,0.9491097,0.0002845284,0.0001583752,0.000004321894,0.001106109,0.00009009983,0.00008725785,0.005246214,0.03607118,0.007209423],"study_design_scores_gemma":[0.0008495671,0.00001381114,0.7037181,0.00008908855,0.0001933575,0.000006522091,0.001655377,0.00009794402,0.00005116338,0.004942043,0.2877554,0.0006276025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8268502,0.000426089,0.002478854,0.005737788,0.0007938521,0.002491846,0.00001761939,0.0004206861,0.1607831],"genre_scores_gemma":[0.987803,0.00001373266,0.0001664055,0.006590333,0.001230447,0.0003811323,0.00003302536,0.00009652195,0.003685407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2516842,"threshold_uncertainty_score":0.9999112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0499883421923379,"score_gpt":0.238321891854804,"score_spread":0.1883335496624661,"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."}}