{"id":"W3172800041","doi":"10.1096/fasebj.2021.35.s1.00434","title":"Gender Disparities in Academic Performance in the Sciences","year":2021,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Analysis of covariance; Covariate; Equity (law); Gender equity; Psychology; Value (mathematics); Mathematics education; Significant difference; Class (philosophy); Demography; Statistics; Mathematics; Sociology; Social science; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002915327,0.00003808785,0.00005143972,0.00004942012,0.0009628994,0.0001419779,0.0004742975,0.00003246137,0.000135198],"category_scores_gemma":[0.0001010304,0.00002195189,0.00002546444,0.0004507928,0.0003196481,0.000275412,0.00005871732,0.0004077324,0.00001286716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006893497,"about_ca_system_score_gemma":0.0004432321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000235755,"about_ca_topic_score_gemma":0.001449818,"domain_scores_codex":[0.9988947,0.0002630819,0.0001002055,0.00006288075,0.0004522838,0.0002268569],"domain_scores_gemma":[0.999734,0.0001319588,0.00003414395,0.0000437508,0.00002876938,0.00002737885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004324016,0.000008422015,0.9513683,0.000001529608,0.000002012732,0.00002513103,0.04084443,0.00003853784,0.00006015121,0.005867778,0.0007967949,0.00098259],"study_design_scores_gemma":[0.00017867,0.000005728988,0.9141992,0.00002361408,0.000004138195,0.00003335033,0.07730359,0.00003021047,0.0002694002,0.00459767,0.003284698,0.00006976732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610538,0.0004771153,0.00000406485,0.005545137,0.0002236889,0.00003362504,5.332631e-7,0.000003367673,0.03265861],"genre_scores_gemma":[0.9975548,0.001132258,0.00002496522,0.0007040169,0.0001320948,8.12864e-7,2.519509e-7,9.036658e-7,0.0004498331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03716914,"threshold_uncertainty_score":0.740594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1051399057647798,"score_gpt":0.3161920617183921,"score_spread":0.2110521559536123,"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."}}