{"id":"W4238705200","doi":"10.2139/ssrn.2459765","title":"Force and Peace: Balancing Security and Community after War","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Military and Defense Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Political science; Computer security; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003327636,0.00008277864,0.0001202116,0.00003172759,0.001851315,0.00002977981,0.00008812913,0.00004848964,0.00002474452],"category_scores_gemma":[0.0001307784,0.00007275309,0.00003333639,0.00005259812,0.0002146738,0.0002654548,0.0000574667,0.001617859,0.000004218884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002215523,"about_ca_system_score_gemma":0.0002984279,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008036476,"about_ca_topic_score_gemma":0.08620002,"domain_scores_codex":[0.99817,0.0004388679,0.0001204519,0.00008468096,0.0001554423,0.001030532],"domain_scores_gemma":[0.9996318,0.0001272632,0.00003860179,0.00007204364,0.00004004564,0.00009026122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003729024,0.0002497846,0.117035,0.00005556767,0.0003975274,0.00001302349,0.6442022,0.000007264292,0.0001000151,0.1574332,0.00139979,0.07873359],"study_design_scores_gemma":[0.001063372,0.0004418685,0.01669986,0.00005140846,0.00007703022,0.0002837176,0.3618179,0.0000712435,0.00001725667,0.573574,0.0454794,0.0004229828],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469599,0.04424495,0.00007206367,0.001642326,0.0000435004,0.00005721616,0.000001335886,0.00001899054,0.006959729],"genre_scores_gemma":[0.9543572,0.04419933,0.00003795748,0.0001625168,0.0003086804,0.000001922277,2.641029e-7,0.000004604607,0.000927543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4161408,"threshold_uncertainty_score":0.9994481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006492476576739976,"score_gpt":0.2582748404170969,"score_spread":0.2517823638403569,"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."}}