{"id":"W1985426668","doi":"10.1108/13620430810870502","title":"The role of career history in gender based biases in job selection decisions","year":2008,"lang":"en","type":"article","venue":"Career Development International","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Femininity; Masculinity; Psychology; Originality; Social psychology; Selection (genetic algorithm); Value (mathematics); Test (biology); Job performance; Gender role; Personnel selection; Job satisfaction; Management","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":[0.004119026,0.0002007667,0.0002304313,0.0007045782,0.0007050977,0.001429663,0.0002371968,0.0003365728,0.003255561],"category_scores_gemma":[0.01717273,0.0001834238,0.000207228,0.0002756833,0.001304752,0.0005575797,0.0007483306,0.0003972616,0.0002038782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004909334,"about_ca_system_score_gemma":0.0005638889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001957353,"about_ca_topic_score_gemma":0.003727902,"domain_scores_codex":[0.9982561,0.001047123,0.00005693101,0.0001505317,0.0003318684,0.0001574508],"domain_scores_gemma":[0.9842417,0.01002757,0.003681035,0.0006867919,0.0004063008,0.0009566676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000588857,0.000188222,0.9657513,0.000067193,0.00005936636,0.0001896643,0.005812251,0.000359844,0.002547218,0.001327981,0.000113217,0.02299479],"study_design_scores_gemma":[0.00001492359,0.0003015138,0.991545,0.00004796059,0.00002255332,0.0002295588,0.003850968,0.001045828,0.0006746319,0.001669673,0.0005765239,0.00002084906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974447,0.0001095403,0.0003010267,0.00006798304,0.000006791982,0.000006979051,0.00001409435,0.000001833124,0.002047081],"genre_scores_gemma":[0.999676,0.00003091563,0.0001204198,0.0000211643,0.00000349823,0.000002633611,0.000008877586,8.943047e-7,0.0001356518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004119026,"threshold_uncertainty_score":0.02178377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2444014503760534,"score_gpt":0.2944030630485879,"score_spread":0.05000161267253447,"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."}}