{"id":"W4402746406","doi":"10.3138/jmvfh-0718-0013","title":"The progressions of a gendered military: A theoretical examination of gender inequality in the Canadian military","year":2024,"lang":"en","type":"article","venue":"Journal of Military Veteran and Family Health","topic":"Gender, Security, and Conflict","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University; Queen's University","funders":"","keywords":"Inequality; Gender inequality; Gender studies; Sociology; Political science; History; Psychology; Demography; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.009237421,0.0001322837,0.0003273418,0.0002299857,0.000530927,0.00001189168,0.0003833632,0.0001129329,0.00001499991],"category_scores_gemma":[0.0002666934,0.00007806112,0.0001573674,0.0003847697,0.0008954142,0.0001550225,0.00002518746,0.0004754528,5.522051e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001745076,"about_ca_system_score_gemma":0.001950388,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.127727,"about_ca_topic_score_gemma":0.2777195,"domain_scores_codex":[0.9955599,0.002267784,0.0008820858,0.0001771428,0.0006983553,0.0004147221],"domain_scores_gemma":[0.9984796,0.000724263,0.00009814246,0.0002156986,0.0001877483,0.0002945478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002657085,0.000315383,0.00556019,0.0007147348,0.0001436421,0.00008910444,0.7830082,0.00001256886,0.00006078717,0.09797569,0.002502145,0.1093519],"study_design_scores_gemma":[0.0007877914,0.001228915,0.6716141,0.0004508208,0.00005608872,0.00004132851,0.2779921,0.001255577,0.000002529503,0.03020817,0.01615988,0.0002026917],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7823877,0.2085772,0.0000192866,0.006967303,0.0003271191,0.0003586367,0.0000448667,0.0000051827,0.001312734],"genre_scores_gemma":[0.974903,0.02399541,0.00017278,0.0007573128,0.0001463093,0.000005895395,0.000003826431,0.000007628963,0.000007869807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.666054,"threshold_uncertainty_score":0.8780816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07151696888211136,"score_gpt":0.3617465441077147,"score_spread":0.2902295752256034,"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."}}