{"id":"W2160763845","doi":"10.1109/icitst.2009.5402631","title":"Secure biometric system for accessing home appliances via Internet","year":2009,"lang":"en","type":"article","venue":"","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; The Internet; Authentication (law); Iris recognition; Computer security; Computer network; Biometrics; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.00035313,0.0001066731,0.0001513721,0.0009857139,0.00009626779,0.000599284,0.001049428,0.00007383784,0.00001413257],"category_scores_gemma":[0.00002005231,0.00008801759,0.00007366751,0.004503104,0.00001848941,0.0005259744,0.00007142829,0.00005770585,0.00007968664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006799671,"about_ca_system_score_gemma":0.00002279873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001833208,"about_ca_topic_score_gemma":0.000001685445,"domain_scores_codex":[0.9988917,0.00002248957,0.0002510851,0.0003738461,0.0002342268,0.0002267007],"domain_scores_gemma":[0.9992664,0.00006260784,0.0001112475,0.0003538174,0.0001189199,0.00008696033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006476476,0.0001273464,0.0002335146,0.0001195175,0.00001798859,0.000003184376,0.0003611261,0.000001473019,0.001619602,0.1969561,0.0104224,0.7901312],"study_design_scores_gemma":[0.002011118,0.000456376,0.02243469,0.0001153039,0.00003260967,0.00009670381,0.0003355953,0.744163,0.04968076,0.01300652,0.1662976,0.001369699],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003537235,0.0003585028,0.9918943,0.0006922298,0.0007067643,0.0002262775,0.000002821716,0.0003569459,0.002224939],"genre_scores_gemma":[0.9443187,0.000004721157,0.05439286,0.0002816023,0.00007214562,0.00001347298,0.000005950864,0.000003397355,0.0009072169],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9407814,"threshold_uncertainty_score":0.5778909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02848595193939183,"score_gpt":0.2791674819050135,"score_spread":0.2506815299656217,"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."}}