{"id":"W2103766897","doi":"10.5334/sta.fu","title":"From Military to ‘Security Interventions’: An Alternative Approach to Contemporary Interventions","year":2015,"lang":"en","type":"article","venue":"Stability International Journal of Security and Development","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council","keywords":"Psychological intervention; Security studies; Critical security studies; Ambiguity; Sociology; International security; Public relations; Political science; Social science; Psychology; Law; Computer science; Cloud computing security; Network security policy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005048306,0.0001850278,0.000371357,0.0003043693,0.0002435184,0.0001788536,0.000866854,0.0001167528,0.0001595873],"category_scores_gemma":[0.001400211,0.0001833546,0.0001964073,0.0002499413,0.0001871631,0.001043941,0.0003099117,0.0003608054,0.00002446643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007934506,"about_ca_system_score_gemma":0.001452955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01160191,"about_ca_topic_score_gemma":0.007348812,"domain_scores_codex":[0.9961731,0.0007522694,0.001130616,0.0003651395,0.001270336,0.0003084871],"domain_scores_gemma":[0.9962928,0.0001390576,0.0002735274,0.0001720062,0.001716367,0.001406232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006405199,0.002918302,0.009165582,0.00008893362,0.0003305061,0.00002513446,0.968662,0.0000367823,0.000004688981,0.006828722,0.004516936,0.006781934],"study_design_scores_gemma":[0.002789537,0.001119532,0.01542656,0.001018736,0.00003920127,0.00003046284,0.5932849,0.0001141445,0.0002005113,0.07626696,0.3089022,0.0008072431],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776477,0.0009564961,0.004478787,0.008172368,0.001898431,0.0005227066,0.0002328633,0.0000340292,0.006056575],"genre_scores_gemma":[0.9899248,0.00005487032,0.008479511,0.0008319899,0.0005997789,0.00001895464,0.00007154606,0.000007790323,0.00001076319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3753771,"threshold_uncertainty_score":0.9949799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1764444875607957,"score_gpt":0.4063476991513316,"score_spread":0.2299032115905359,"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."}}