{"id":"W1967359737","doi":"10.14430/arctic291","title":"The Gender Gap in Higher Education in Alaska","year":2009,"lang":"en","type":"article","venue":"ARCTIC","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bachelor; Indigenous; Documentation; Gender gap; Higher education; The arctic; Sociology; Psychology; Political science; Demographic economics; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002217984,0.0000217851,0.0000245611,0.0000280868,0.000114637,0.00002600694,0.00008234038,0.00001999108,0.0001507704],"category_scores_gemma":[0.00002886572,0.00001811168,0.000009904961,0.0001623393,0.00002709737,0.00007822049,0.000009310151,0.00004139991,0.00004725774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001270737,"about_ca_system_score_gemma":0.0001826685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001910336,"about_ca_topic_score_gemma":0.007012921,"domain_scores_codex":[0.9996477,0.00003917572,0.00004286562,0.0000563324,0.0001058595,0.0001081001],"domain_scores_gemma":[0.999873,0.00003792059,0.00001059512,0.00004240156,0.00001587404,0.00002021158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005532856,0.00004679723,0.9195769,0.000001020623,0.000001231846,0.000001528715,0.01193783,0.00000141155,0.000004542873,0.04790113,0.003476523,0.01704553],"study_design_scores_gemma":[0.00006073349,0.00000194232,0.9482839,0.00000316399,8.065156e-7,4.155838e-8,0.001672857,3.507672e-7,0.000001250697,0.01937868,0.03056834,0.00002793205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8022656,0.0001391422,1.938781e-7,0.0100155,0.0003766129,0.00007485488,6.675122e-8,0.000009401887,0.1871186],"genre_scores_gemma":[0.9890693,0.00004142976,0.00002308665,0.0006346681,0.0000500482,0.000001149831,6.666022e-7,6.571222e-7,0.01017903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1868037,"threshold_uncertainty_score":0.3913375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06875003987271631,"score_gpt":0.3113622140126425,"score_spread":0.2426121741399261,"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."}}