{"id":"W7116079622","doi":"10.48550/arxiv.2512.15543","title":"Nine Years of Pediatric Iris Recognition: Evidence for Biometric Permanence","year":2025,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Iris recognition; Longitudinal study; Pupillary response; Confounding; IRIS (biosensor)","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":[0.003076237,0.0001839817,0.0002363771,0.000581244,0.0003389486,0.0006098682,0.0004767832,0.0003123826,0.001754335],"category_scores_gemma":[0.00987234,0.0001918583,0.0003944656,0.000502201,0.0004864017,0.0008518293,0.001100855,0.0005572248,0.000354959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002884609,"about_ca_system_score_gemma":0.0004422979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003266101,"about_ca_topic_score_gemma":0.003942411,"domain_scores_codex":[0.9984272,0.000320116,0.0001514224,0.0004703194,0.0004468485,0.0001842575],"domain_scores_gemma":[0.9911144,0.002220984,0.00385438,0.001078179,0.001307563,0.0004244112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001313225,0.00002556501,0.9883711,0.00001641806,0.00002357058,0.0000882664,0.0004163515,0.00007588915,0.0008003129,0.00006449731,0.0001016007,0.009885066],"study_design_scores_gemma":[7.141141e-7,0.0001897378,0.9978618,0.000008808579,0.00001655832,0.0003434598,0.0002524911,0.000168226,0.0007651972,0.00002881262,0.0003609037,0.000003232371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976608,0.0002982409,0.0008411822,0.0000755505,0.000007131056,0.00001051759,0.000320866,0.00002746171,0.0007583167],"genre_scores_gemma":[0.9990376,0.00009826337,0.0003769717,0.00002110299,0.000004260826,0.000008697068,0.0002354798,0.000006284008,0.0002112402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003266101,"threshold_uncertainty_score":0.01626891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2617817531361712,"score_gpt":0.2584119878660572,"score_spread":0.003369765270114011,"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."}}