{"id":"W2579927651","doi":"10.1177/0022009416668039","title":"Blue Angels: Female Fascist Resisters, Spies and Intelligence Officials in the Spanish Civil War, 1936–9","year":2016,"lang":"en","type":"article","venue":"Journal of Contemporary History","topic":"Spanish History and Politics","field":"Arts and Humanities","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Spanish Civil War; Antithesis; Nationalism; Espionage; Law; Resistance (ecology); Political science; Gender studies; Religious studies; Sociology; Literature; Art; Politics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001094887,0.0001706872,0.0003545369,0.0002086996,0.0001702677,0.00003854339,0.0003703061,0.00006036824,0.0005621605],"category_scores_gemma":[0.0001528858,0.0001026329,0.000131703,0.00002576176,0.0008327603,0.0005664598,0.00003030537,0.0002286294,0.00002258979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002821258,"about_ca_system_score_gemma":0.0003414054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001401103,"about_ca_topic_score_gemma":0.001245725,"domain_scores_codex":[0.9984235,0.0002466357,0.0006842664,0.000143731,0.0003046484,0.0001972182],"domain_scores_gemma":[0.9986061,0.0004168217,0.0005087692,0.0002266032,0.0001527992,0.00008885079],"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":[0.0004688622,0.0003435759,0.002818407,0.0001544024,0.0001074391,0.0006517935,0.2515585,0.000001077614,0.0005643369,0.1694598,0.5682477,0.005624141],"study_design_scores_gemma":[0.0002861724,0.0002550807,0.0005746154,0.0002302764,0.00002263651,0.00004434554,0.01141904,5.201961e-7,0.00007011706,0.001126049,0.9858114,0.0001597605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6291551,0.1044419,0.0001276701,0.003971106,0.005282945,0.0003624639,0.00007163909,0.00004376199,0.2565434],"genre_scores_gemma":[0.9851447,0.0004292308,0.00002236173,0.001131447,0.0009641091,0.000003250231,8.855846e-7,0.00001774268,0.01228625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4175637,"threshold_uncertainty_score":0.6155263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09262171519560242,"score_gpt":0.2416582326358009,"score_spread":0.1490365174401985,"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."}}