{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006647836,0.00005822784,0.00007273886,0.0001736681,0.0001915167,0.00000986107,0.0003033551,0.00005655519,0.000297095],"category_scores_gemma":[0.0005105979,0.00005438604,0.00003497573,0.0001702626,0.0001136304,0.0001239819,0.00004748166,0.00009640754,0.00001240044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274865,"about_ca_system_score_gemma":0.001059758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002319821,"about_ca_topic_score_gemma":0.01436316,"domain_scores_codex":[0.9987726,0.0001111803,0.0002254555,0.0001344777,0.0005863378,0.0001699775],"domain_scores_gemma":[0.9993507,0.0002457981,0.00005949955,0.00005897516,0.0002432097,0.00004182258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002301566,0.00006328455,0.9585471,0.000001079156,0.0000159867,0.000004129782,0.03143177,0.0002840846,0.00006745796,0.002816926,0.003160207,0.003584987],"study_design_scores_gemma":[0.0002627932,0.000005337819,0.7349414,0.00001648693,0.000001539118,5.801522e-7,0.00590566,0.0002477542,0.0003833121,0.000271902,0.2578772,0.00008607347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964099,0.0003496417,0.0001810124,0.0002490976,0.0006065707,0.0001103023,0.000005388617,0.00001527075,0.03438366],"genre_scores_gemma":[0.9983898,0.00005727138,0.0006522788,0.0001310377,0.00003196426,0.00001165471,0.00001445158,0.000002905151,0.000708611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.254717,"threshold_uncertainty_score":0.8014979,"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."}}