{"id":"W7009580095","doi":"","title":"The Effects of Biometric Border Systems on Trans Travelers","year":2023,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Border Security; Software deployment; Identity (music); Identification (biology); Narrative; Terrorism; National security; Identity theft","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003205328,0.000276125,0.0001622182,0.0007082384,0.004945866,0.003659301,0.0006781863,0.001004271,0.0127558],"category_scores_gemma":[0.01737296,0.0001791063,0.0003411319,0.0008159528,0.001507787,0.00199475,0.002473162,0.001219819,0.001554494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002636368,"about_ca_system_score_gemma":0.001533183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1111594,"about_ca_topic_score_gemma":0.1235212,"domain_scores_codex":[0.9970074,0.001922259,0.00007153955,0.000142957,0.0004134207,0.000442498],"domain_scores_gemma":[0.9889178,0.003921077,0.00198646,0.0008197497,0.003032298,0.001322579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.003079507,0.002311815,0.6096047,0.0002377125,0.000153092,0.002190961,0.07192676,0.001714492,0.002615433,0.009382239,0.0239374,0.272846],"study_design_scores_gemma":[0.00009996142,0.003180566,0.6452888,0.0004169586,0.0002090723,0.001359209,0.2903946,0.004026223,0.003014063,0.002465756,0.04942992,0.0001148705],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601788,0.0004315035,0.0002347766,0.002982267,0.00006383165,0.00003967519,0.00009719528,0.00003418167,0.03593766],"genre_scores_gemma":[0.9941598,0.0004175733,0.000202396,0.0004556946,0.00001562598,0.00001849253,0.00005490941,0.00001050494,0.00466501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8888406,"threshold_uncertainty_score":0.2210248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06967564571736833,"score_gpt":0.3396803390682299,"score_spread":0.2700046933508616,"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."}}