{"id":"W4315977412","doi":"10.1353/book.101111","title":"At War with Women","year":2023,"lang":"en","type":"book","venue":"Cornell University Press eBooks","topic":"Gender, Security, and Conflict","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Oxford; Brown University; National Archives and Records Administration; U.S. Department of Veterans Affairs; United States Agency for International Development; York University; U.S. Department of State; National Science Foundation","keywords":"History","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005748281,0.001123776,0.0004371614,0.0007205825,0.01146953,0.005730364,0.0006985468,0.003124078,0.1050286],"category_scores_gemma":[0.001148325,0.0003630583,0.0002532669,0.0009876145,0.003894443,0.005003141,0.004575438,0.005181664,0.02721883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002647897,"about_ca_system_score_gemma":0.003635057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01871687,"about_ca_topic_score_gemma":0.08056825,"domain_scores_codex":[0.999576,0.000124043,0.000008634844,0.00006306363,0.0000792286,0.0001490451],"domain_scores_gemma":[0.9997922,0.00004748887,0.00001574462,0.00001935603,0.00003066229,0.00009467908],"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":[0.00002493837,0.00003865424,0.0002223359,0.00006431866,0.000002549334,0.0001407115,0.01001683,0.00002948643,0.00011547,0.168335,0.7549651,0.0660447],"study_design_scores_gemma":[0.000002227459,0.000006670575,0.0001906735,0.0001076693,0.000001008304,0.00003777214,0.003198545,0.000006203954,0.00002300865,0.007040244,0.9893836,0.000002286765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001196942,0.02095465,0.0002433214,0.01993025,0.004280834,0.0000305771,0.00009041311,0.00003710274,0.953236],"genre_scores_gemma":[0.01329041,0.005984106,0.0001556806,0.007870544,0.0007841826,0.00005794106,0.00004007249,0.00004395833,0.9717731],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1050286,"threshold_uncertainty_score":0.3513555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05228032092193376,"score_gpt":0.2166877416716364,"score_spread":0.1644074207497026,"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."}}