{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001404718,0.0001322865,0.0002813548,0.001514269,0.003135731,0.001795632,0.0003716589,0.0003714963,0.01128334],"category_scores_gemma":[0.003290785,0.0001049285,0.0001737577,0.001708495,0.0008597284,0.001301785,0.002279503,0.0006236887,0.0008194224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287039,"about_ca_system_score_gemma":0.001894905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03881327,"about_ca_topic_score_gemma":0.07901219,"domain_scores_codex":[0.9989974,0.0002119246,0.00005541702,0.0001360032,0.000250598,0.0003487295],"domain_scores_gemma":[0.9981659,0.0004348483,0.0003173156,0.00004708858,0.000207483,0.0008272808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002235595,0.0002635333,0.7660435,0.0002425105,0.0000385376,0.0009184817,0.1042498,0.00016973,0.0007207538,0.009871897,0.007395367,0.1098624],"study_design_scores_gemma":[0.000003966841,0.00009091944,0.8406591,0.0002690347,0.00001020057,0.0002616828,0.1348115,0.00008533666,0.0001446392,0.001825025,0.02181966,0.00001884151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640145,0.002594442,0.0001241704,0.002093674,0.0001668952,0.000006666368,0.00028724,0.000007807164,0.0307047],"genre_scores_gemma":[0.9947793,0.0009893891,0.00004969976,0.0002136614,0.00003901917,0.000006769183,0.0001127422,0.000004617115,0.00380476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03881327,"threshold_uncertainty_score":0.07717466,"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."}}