{"id":"W2050195600","doi":"10.1111/j.1528-3577.2004.00158.x","title":"Passports, Mobility, and Security: How smart can the border be?","year":2004,"lang":"en","type":"article","venue":"International Studies Perspectives","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":262,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Homeland security; Context (archaeology); Border Security; Political science; Homeland; Security policy; International trade; National security; Security studies; Public administration; Political economy; Computer security; Law; Sociology; Politics; Business; Terrorism; Geography; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003837348,0.0001055803,0.0001122918,0.00004905031,0.0005939897,0.0001502646,0.00017175,0.00004264971,0.00007575221],"category_scores_gemma":[0.0006420736,0.00007306309,0.00005562474,0.0001179224,0.0007009631,0.0002630845,0.00005700358,0.0001123041,0.000002042896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004069316,"about_ca_system_score_gemma":0.00007950827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005812937,"about_ca_topic_score_gemma":0.1130743,"domain_scores_codex":[0.9990048,0.00006599649,0.0001164704,0.0002445757,0.0004197052,0.0001483943],"domain_scores_gemma":[0.9991413,0.00009789531,0.00007385926,0.0000949258,0.0005519399,0.00004005211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001195332,0.0001049506,0.007601496,0.000003399719,0.0002187684,0.000002150644,0.6221057,0.000005837845,0.00002757251,0.3628542,0.006077828,0.0009861601],"study_design_scores_gemma":[0.0002791153,0.00004967105,0.02213916,0.00002066864,0.00002113381,0.000002886259,0.6465113,0.000009503413,0.0001002595,0.05292203,0.2777888,0.0001554766],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7004306,0.005855875,0.00007080145,0.2794855,0.0006669881,0.0003155214,0.00002835788,0.00006743038,0.01307899],"genre_scores_gemma":[0.9919615,0.005499491,0.00005725319,0.0005544215,0.000486203,0.00004721475,0.000005949237,0.000005658826,0.001382297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3099322,"threshold_uncertainty_score":0.9031098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02308061589200333,"score_gpt":0.3528376023027265,"score_spread":0.3297569864107232,"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."}}