{"id":"W4403777048","doi":"10.12797/9788383681696.09","title":"Gender Diversity and Inclusion Efforts within the Canadian Armed Forces","year":2024,"lang":"en","type":"book-chapter","venue":"Ksiegarnia Akademicka Publishing eBooks","topic":"Gender, Security, and Conflict","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Inclusion (mineral); Political science; Geography; Gender studies; Sociology; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003132053,0.0004157824,0.0003381362,0.003916441,0.02739957,0.008027627,0.001381543,0.0008350287,0.00562467],"category_scores_gemma":[0.004753756,0.0002790127,0.0003334466,0.005770975,0.01080214,0.002146876,0.005105868,0.001420699,0.0002951149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09358458,"about_ca_system_score_gemma":0.1485799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9877886,"about_ca_topic_score_gemma":0.9923447,"domain_scores_codex":[0.9936956,0.0007809135,0.0001062503,0.0003797758,0.002730326,0.002307153],"domain_scores_gemma":[0.997088,0.0003915796,0.0002681166,0.00009031291,0.001179648,0.0009822063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001120247,0.00008486801,0.0565229,0.0004866621,0.0000377996,0.0008126404,0.4545739,0.0003965202,0.001301939,0.1990595,0.02401842,0.2625928],"study_design_scores_gemma":[0.000007003204,0.00005507049,0.2326996,0.000943893,0.0000379442,0.0003102335,0.3746092,0.0002404089,0.0004795308,0.00539893,0.3851264,0.00009167914],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6021057,0.02285664,0.0009172696,0.02296272,0.0004017707,0.0001141676,0.0005515665,0.00004956159,0.3500406],"genre_scores_gemma":[0.9711207,0.009346806,0.0006008989,0.000698461,0.00004951108,0.00002509011,0.0001191209,0.00002223789,0.01801716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09358458,"threshold_uncertainty_score":0.6790068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04519728667968913,"score_gpt":0.2551547024164923,"score_spread":0.2099574157368032,"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."}}