{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002304131,0.0002650543,0.0003285717,0.0001072352,0.0007398455,0.0000430766,0.0008028082,0.0004216448,0.0001569442],"category_scores_gemma":[0.00001124991,0.0002937212,0.0001161596,0.00003262022,0.0006283081,0.00006379567,0.0004053399,0.0003431747,0.0001865958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00115961,"about_ca_system_score_gemma":0.000726062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001291874,"about_ca_topic_score_gemma":0.002082676,"domain_scores_codex":[0.9982303,0.0001383529,0.0001050238,0.0005395563,0.000405235,0.0005814722],"domain_scores_gemma":[0.9988352,0.0001113838,0.0001568825,0.000427549,0.0001405694,0.000328426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005194158,0.00005640088,0.0001551394,0.0003086753,0.0006272364,0.001496927,0.2243902,0.0000291311,0.00000545312,0.4652528,0.3051088,0.002049785],"study_design_scores_gemma":[0.0003838248,0.00006052743,0.00003620472,0.0000502638,0.00008522829,0.000001200347,0.005360364,0.000004310557,0.000004547401,0.00223658,0.9913918,0.000385151],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001600208,0.00007940412,0.00002626563,0.00001051549,0.0003206058,0.0003909862,0.00007027856,0.0003617123,0.99714],"genre_scores_gemma":[0.003844796,0.0002974126,0.000004396781,0.00006224919,0.00026478,0.000002096626,0.00002659497,0.00004222444,0.9954554],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.686283,"threshold_uncertainty_score":0.9999515,"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."}}