{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004001517,0.0002549913,0.000492775,0.0005340928,0.0003269269,0.0004006987,0.0004814278,0.0005730496,0.00415624],"category_scores_gemma":[0.000971323,0.0001389373,0.0001915732,0.0004095007,0.0002569631,0.0008704222,0.0006067436,0.0003626037,0.003122575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466092,"about_ca_system_score_gemma":0.0002317682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003829118,"about_ca_topic_score_gemma":0.0004265428,"domain_scores_codex":[0.9994484,0.0001039069,0.00003760713,0.00009400818,0.0002786574,0.00003736838],"domain_scores_gemma":[0.9995753,0.00005705769,0.0000853548,0.0001481873,0.000111146,0.00002295003],"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":[0.0009268644,0.0002281267,0.005806063,0.000185543,0.00005544187,0.0005382744,0.000183731,0.00458018,0.4804013,0.0070528,0.008273944,0.4917677],"study_design_scores_gemma":[0.0001972583,0.001549494,0.03658457,0.0001112251,0.0001907161,0.007306865,0.000264868,0.3723058,0.5285916,0.004897533,0.04778689,0.000213249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2287107,0.0008118231,0.7519542,0.0004788121,0.0002589519,0.0002445988,0.0005322162,0.007986883,0.00902184],"genre_scores_gemma":[0.8070244,0.000450927,0.1804455,0.0001689718,0.0001017977,0.0001867431,0.0006849554,0.00007780315,0.01085889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00415624,"threshold_uncertainty_score":0.01390398,"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."}}