{"id":"W1933955702","doi":"10.24908/ss.v5i2.3429","title":"Smart Borders and Mobilities: Spaces, Zones, Enclosures","year":2002,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Cross-Border Cooperation and Integration","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mobilities; Economic geography; Sociology; Geography; Social 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002651643,0.0005292777,0.0005447875,0.002713212,0.002812011,0.015011,0.0008326557,0.002638186,0.01082169],"category_scores_gemma":[0.006484662,0.00042311,0.0003268241,0.003571237,0.02077402,0.01785275,0.006025489,0.001826719,0.0004990018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001951487,"about_ca_system_score_gemma":0.001761941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002864077,"about_ca_topic_score_gemma":0.003429329,"domain_scores_codex":[0.9978125,0.001355989,0.00008407728,0.0002514631,0.0002752023,0.0002206371],"domain_scores_gemma":[0.9966568,0.001746327,0.0006156072,0.000385435,0.0002047883,0.0003910357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002746317,0.00001722837,0.002775207,0.0000988179,0.0000120069,0.00006463453,0.01253503,0.0008620206,0.000202218,0.9590119,0.00164741,0.02274611],"study_design_scores_gemma":[0.00002875438,0.00006116592,0.006609111,0.0004537665,0.00003472727,0.000457655,0.05031955,0.002735467,0.0003202137,0.8643796,0.07455759,0.00004240259],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3596482,0.03734834,0.1298555,0.05300837,0.000619794,0.0001436089,0.0004227553,0.0003107027,0.4186426],"genre_scores_gemma":[0.9847642,0.002713564,0.007367352,0.0003480766,0.00009987809,0.00006455309,0.0000465198,0.00002783674,0.004568069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.015011,"threshold_uncertainty_score":0.03620219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191236442057311,"score_gpt":0.3080193956346288,"score_spread":0.2888957514288977,"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."}}