{"id":"W7116210485","doi":"","title":"Nine Years of Pediatric Iris Recognition: Evidence for Biometric Permanence","year":2025,"lang":"","type":"article","venue":"ArXiv.org","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001630021,0.0002972702,0.0004965144,0.00423141,0.0002747381,0.0002059887,0.001865452,0.000283932,0.0002942717],"category_scores_gemma":[0.003775158,0.0003546643,0.0003407275,0.02645553,0.000255425,0.0009169241,0.0005107541,0.0002911848,0.0004645066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001420444,"about_ca_system_score_gemma":0.0005954485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001144386,"about_ca_topic_score_gemma":0.000004050376,"domain_scores_codex":[0.9963361,0.0001904518,0.001158854,0.001121397,0.0006227029,0.000570484],"domain_scores_gemma":[0.9950939,0.001647886,0.0006333911,0.001226444,0.001209202,0.0001892103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001181575,0.001044528,0.4354639,0.001674528,0.0001797514,0.00001637659,0.001143343,0.000004617058,0.002499069,0.00103636,0.02706654,0.5297528],"study_design_scores_gemma":[0.001137428,0.0003322548,0.9697154,0.0002866422,0.0003246419,0.000006750412,0.00007035224,0.005381502,0.00459409,0.0004907973,0.01708205,0.0005780893],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7935429,0.01983006,0.1790681,0.00221074,0.00393306,0.000956811,0.000100049,0.0001030736,0.0002552498],"genre_scores_gemma":[0.9827352,0.006778209,0.006059248,0.0004368484,0.0003542382,0.00006993834,0.00002303252,0.00001543526,0.003527889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5342515,"threshold_uncertainty_score":0.9998905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1738149940124864,"score_gpt":0.3514280906818504,"score_spread":0.177613096669364,"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."}}