{"id":"W2732089438","doi":"","title":"Women in ‘combat’: a revolution in the US military?","year":2013,"lang":"en","type":"other","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Gender, Security, and Conflict","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front line; Directive; Front (military); Political science; Military science; Law; Military personnel; Military operation; Management; Public administration; Engineering; Computer science","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":[0.002805743,0.0003543184,0.0002895763,0.000822435,0.009160758,0.007957959,0.000555888,0.002753787,0.02580263],"category_scores_gemma":[0.003387709,0.0001626063,0.0002299299,0.001889484,0.005928284,0.005463372,0.00350558,0.00387591,0.001932499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004578538,"about_ca_system_score_gemma":0.005493532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0431259,"about_ca_topic_score_gemma":0.08515602,"domain_scores_codex":[0.9983608,0.0008512477,0.00002987026,0.00009165981,0.0001904181,0.0004759307],"domain_scores_gemma":[0.9990559,0.0002557853,0.00009306674,0.00004795186,0.0001196569,0.0004276247],"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":[0.000098028,0.00009041388,0.00270958,0.0001309837,0.00001025282,0.0001916549,0.06420152,0.00005720846,0.0001460332,0.4104235,0.4336241,0.08831669],"study_design_scores_gemma":[0.00001459595,0.00002389992,0.003649394,0.000287219,0.000004068249,0.00008135668,0.06738756,0.00003297189,0.0000656067,0.01906471,0.9093775,0.00001113322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.06109448,0.03542534,0.0002840106,0.5176737,0.005495736,0.00001953153,0.000223397,0.00003453603,0.3797493],"genre_scores_gemma":[0.6931847,0.03086641,0.0003093288,0.1180368,0.004171093,0.00006273579,0.0001818647,0.0001025618,0.1530845],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0431259,"threshold_uncertainty_score":0.08631843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05371749799321315,"score_gpt":0.362421431445061,"score_spread":0.3087039334518479,"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."}}