{"id":"W1942491725","doi":"","title":"Manufacturing 'Terrorists': Refugees, National Security and Canadian Law, Part 1","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Military and Defense Studies","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Refugee; National security; Political science; Law; Computer security; Business; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001672028,0.00009015411,0.000103902,0.00005262065,0.001659829,0.0000532092,0.0001208964,0.00006167551,0.0006588513],"category_scores_gemma":[0.00003448804,0.00008629167,0.00004659463,0.0000620743,0.0001834701,0.0002282983,0.000009098905,0.0007215014,0.00004298065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009390494,"about_ca_system_score_gemma":0.002099138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1371639,"about_ca_topic_score_gemma":0.9316774,"domain_scores_codex":[0.9977576,0.0001293614,0.0001452188,0.0001454916,0.0003079422,0.00151438],"domain_scores_gemma":[0.9996322,0.000028226,0.00002999482,0.00005082101,0.00004683676,0.0002119279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002472312,0.00001686434,0.000652125,0.000002880366,0.00009218784,0.00001066934,0.00593819,0.000004552891,6.674965e-7,0.9809089,0.003276975,0.00907128],"study_design_scores_gemma":[0.000114936,0.00003070304,0.0002491999,0.000005524973,0.000006732893,0.00005338816,0.003339631,0.000001867516,0.000003164538,0.4137229,0.5823849,0.00008695014],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5611441,0.005405827,0.000002776361,0.003242462,0.0002562042,0.00008747887,0.00001209472,0.00002881749,0.4298202],"genre_scores_gemma":[0.9856681,0.005716268,0.000009112612,0.0004060785,0.0006477334,0.000002280223,0.000002303162,0.000005759983,0.007542313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7945135,"threshold_uncertainty_score":0.9996399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008326250068792701,"score_gpt":0.2610386460587092,"score_spread":0.2527123959899165,"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."}}