{"id":"W3111826397","doi":"10.15695/amqst.v10i1.3813","title":"Maureen Baker, Academic Careers and the Gender Gap","year":2013,"lang":"en","type":"article","venue":"AmeriQuests","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gender gap; Political science; Sociology; Psychology; Gender studies; Demographic economics; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007709967,0.00006155109,0.0001019917,0.00002169657,0.0002699266,0.00005504673,0.0003206398,0.00008158548,0.0004257637],"category_scores_gemma":[0.0001423152,0.00004224302,0.00002794845,0.0001015481,0.001309906,0.0001853405,0.00007523023,0.0002080019,0.0001234427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002531331,"about_ca_system_score_gemma":0.00004307525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01195368,"about_ca_topic_score_gemma":0.000413482,"domain_scores_codex":[0.9990142,0.0001850469,0.00007457766,0.0001202993,0.0003962668,0.0002095863],"domain_scores_gemma":[0.9995525,0.0001248234,0.00003611344,0.0001062998,0.00006607479,0.0001142016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004998492,0.00002114837,0.1025793,0.00002690469,0.00009932877,0.00001536824,0.2439873,0.000002724784,0.0001102203,0.1680812,0.3706878,0.1143388],"study_design_scores_gemma":[0.002380195,0.00008277423,0.0864019,0.0000618195,0.0001136605,0.000008456083,0.2622375,0.00007236829,0.00004998796,0.05693729,0.5911788,0.0004752192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6677588,0.002533171,0.00009096941,0.03763516,0.0004751126,0.0005742067,0.000002998061,0.0001353471,0.2907943],"genre_scores_gemma":[0.9894729,0.001454779,0.00006785048,0.005820867,0.000251778,0.00001361892,0.000001698197,0.000004430342,0.002912053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3217141,"threshold_uncertainty_score":0.9946258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03711180784306357,"score_gpt":0.305518435447833,"score_spread":0.2684066276047694,"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."}}