{"id":"W4210744483","doi":"10.36019/9781978823679","title":"Rape by the Numbers","year":2021,"lang":"en","type":"book","venue":"Rutgers University Press eBooks","topic":"Gender, Security, and Conflict","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Politics; Scope (computer science); State (computer science); Face (sociological concept); Criminology; Perception; Public relations; Sociology; Social science; Law; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002854249,0.0002557605,0.0002936147,0.00005693852,0.001142928,0.0001609317,0.001094589,0.0004952483,0.0002526421],"category_scores_gemma":[0.0000201957,0.0002628259,0.0003038103,0.00003367699,0.0008031985,0.00007962445,0.0002447456,0.0005588254,0.00002229157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004304205,"about_ca_system_score_gemma":0.001385991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005524898,"about_ca_topic_score_gemma":0.0002158616,"domain_scores_codex":[0.9979842,0.0003715867,0.0001259653,0.0004455512,0.0006235472,0.000449184],"domain_scores_gemma":[0.9988437,0.000179501,0.0001655133,0.0004622355,0.0001448227,0.0002042565],"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":[0.0000184082,0.00001679716,0.000002280043,0.00002808901,0.0002125846,0.00009154563,0.02397444,5.326925e-7,0.00002871681,0.1017228,0.8716575,0.002246318],"study_design_scores_gemma":[0.0002288963,0.000009472254,3.88268e-7,0.00002982335,0.000158071,0.00000134778,0.00256508,0.00000135633,0.0001158778,0.0004147398,0.9961718,0.0003031836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000009298602,0.0006832211,0.00002766708,0.0004488282,0.0005988457,0.0003314503,0.00008383523,0.0001205471,0.9976963],"genre_scores_gemma":[0.0009148594,0.0005650955,0.00001223491,0.0004197719,0.0002980097,9.421858e-7,0.00005045197,0.00002379272,0.9977148],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1245143,"threshold_uncertainty_score":0.9999824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02747129747699079,"score_gpt":0.2346516995020174,"score_spread":0.2071804020250266,"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."}}