{"id":"W2981944077","doi":"10.1080/08865655.2018.1445547","title":"Securitized Borderlands","year":2019,"lang":"en","type":"article","venue":"Journal of Borderlands Studies","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"CONTEST; Securitization; Scrutiny; Variety (cybernetics); Sovereignty; State (computer science); Field (mathematics); Political science; Dimension (graph theory); Sociology; Law and economics; Business; Law; Politics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002272743,0.0001212138,0.000487345,0.0001337858,0.0003734897,0.0000731498,0.0002858337,0.0001020678,0.0003268554],"category_scores_gemma":[0.0007760104,0.00009417826,0.0001577814,0.0003868931,0.0001520876,0.0003498004,0.00004746637,0.0002889897,0.00004811661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001211817,"about_ca_system_score_gemma":0.0005062939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003382456,"about_ca_topic_score_gemma":0.001038617,"domain_scores_codex":[0.9980378,0.0002551297,0.0004955412,0.0001191661,0.000671063,0.00042136],"domain_scores_gemma":[0.9982243,0.0003274363,0.0003664218,0.0001145676,0.0007654948,0.0002018408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006557185,0.0007032752,0.1900601,0.0004652139,0.001574202,0.0001775288,0.2595287,0.0000470887,0.00005818195,0.1972779,0.3165465,0.03290557],"study_design_scores_gemma":[0.001322119,0.0003592148,0.003086698,0.0000954339,0.00002865311,0.00001740207,0.03233766,0.000005506472,0.000004610616,0.006952981,0.9556459,0.0001438655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8257695,0.01480642,0.00002043936,0.0268962,0.002733816,0.0002468218,0.000009236423,0.00004215965,0.1294754],"genre_scores_gemma":[0.9858593,0.0105725,0.0002199732,0.00082895,0.0007495873,0.000001685075,0.000001001478,0.000008067982,0.001758944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6390994,"threshold_uncertainty_score":0.3840478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280826863006153,"score_gpt":0.3576818786647439,"score_spread":0.3295991923641287,"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."}}