{"id":"W4285413591","doi":"10.2139/ssrn.4152486","title":"Gender, Competition, and Performance: International Evidence","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Culture, Economy, and Development Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Competition (biology); Psychology; Business; Biology","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":[0.007710171,0.0006725586,0.0009303249,0.001895051,0.001285059,0.002920814,0.001146696,0.001645034,0.01635077],"category_scores_gemma":[0.01651628,0.000272,0.0006875965,0.003986126,0.004657441,0.001708054,0.001886222,0.0009515147,0.0009494903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010235,"about_ca_system_score_gemma":0.001354593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01528504,"about_ca_topic_score_gemma":0.02425844,"domain_scores_codex":[0.9972432,0.001167918,0.0001801515,0.0004995198,0.0004229757,0.0004863139],"domain_scores_gemma":[0.9575614,0.03027491,0.006802094,0.001286695,0.001862296,0.00221275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003152057,0.000956469,0.9174848,0.001049708,0.001259943,0.0003516375,0.003690817,0.0003256999,0.0002953159,0.009635379,0.002995807,0.05880243],"study_design_scores_gemma":[0.00009837296,0.000562957,0.9771976,0.0009805338,0.0005840705,0.0002570004,0.007822982,0.0001393131,0.0001995322,0.004590055,0.007519018,0.00004862547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8701104,0.06259996,0.0005011643,0.005733144,0.0002871655,0.00003779336,0.001248064,0.000007301556,0.05947506],"genre_scores_gemma":[0.990682,0.007119049,0.00009554991,0.0005625361,0.0001810579,0.00001104058,0.000307293,0.000006824292,0.001034717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01635077,"threshold_uncertainty_score":0.05469877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03290450939508899,"score_gpt":0.288608261864238,"score_spread":0.255703752469149,"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."}}