{"id":"W2346457521","doi":"10.1007/978-3-319-27914-5_7","title":"Scanning the Consequences of Demographic Change for the Emerging Security Landscape","year":2016,"lang":"en","type":"book-chapter","venue":"Advanced sciences and technologies for security applications","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Demographic change; Elite; Population; Development economics; Immigration; Ethnic group; Population growth; Geography; Politics; Political science; Demographic economics; Economic geography; Economic growth; Economics; Sociology; Demography","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":["sts"],"category_scores_codex":[0.001141418,0.0002396528,0.000307333,0.0002291886,0.003324775,0.0001034165,0.001343388,0.0002842016,0.0000132534],"category_scores_gemma":[0.0001384314,0.0001304207,0.0002066962,0.0003928166,0.008277606,0.0002193387,0.0001715256,0.0002171432,5.909852e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001242913,"about_ca_system_score_gemma":0.000121096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009114716,"about_ca_topic_score_gemma":0.002403294,"domain_scores_codex":[0.9983223,0.00002029655,0.0003339431,0.0005538567,0.000342131,0.0004274395],"domain_scores_gemma":[0.9972966,0.001541206,0.0004905575,0.0004132844,0.0002169554,0.00004141642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004727417,0.000005969098,0.0001576861,0.00003156724,0.00003420045,3.649121e-8,0.001422565,5.500572e-7,0.000007257559,0.8353134,0.0001155678,0.1629065],"study_design_scores_gemma":[0.00009303424,0.00006302576,0.00002269748,0.00006401011,0.00005712299,7.582119e-7,0.008396569,0.00002667038,0.00002882413,0.6408126,0.3502852,0.0001494874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002979031,0.2808731,0.03252132,0.2569909,0.001678476,0.0283531,0.004865886,0.00267154,0.3890666],"genre_scores_gemma":[0.9555628,0.03713535,0.001205423,0.0001033138,0.000159841,0.003681377,0.000009936444,0.00001818966,0.002123781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9525837,"threshold_uncertainty_score":0.9979728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05562281207538775,"score_gpt":0.327694683745652,"score_spread":0.2720718716702643,"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."}}