{"id":"W2167839456","doi":"10.1109/cib.2009.4925682","title":"Secure and simplified access to home appliances using Iris recognition","year":2009,"lang":"en","type":"article","venue":"","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Home automation; Access control; Authentication (law); Biometrics; Computer network; Computer security; Multi-factor authentication; Authentication protocol; 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":[0.000208737,0.0003182665,0.0003975391,0.000475495,0.0002889173,0.0004604518,0.0004407058,0.0003911781,0.003712424],"category_scores_gemma":[0.0005251116,0.0001862267,0.0002738305,0.0003393425,0.000259568,0.0009845443,0.0007526862,0.0002807054,0.001836506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001510514,"about_ca_system_score_gemma":0.0001638406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004236981,"about_ca_topic_score_gemma":0.0005844134,"domain_scores_codex":[0.9996527,0.00006776151,0.00002341914,0.00006197237,0.0001401428,0.00005389985],"domain_scores_gemma":[0.9996904,0.0000453404,0.00006057717,0.0001283435,0.00005774144,0.00001762466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001063198,0.0001617584,0.003975311,0.0001883805,0.00005065893,0.0008924589,0.0002391198,0.002331919,0.5730804,0.004351649,0.004918655,0.4087465],"study_design_scores_gemma":[0.0001373354,0.001016546,0.02622947,0.00006907929,0.0002193797,0.005243839,0.0003419926,0.1361241,0.7957101,0.003378105,0.03138254,0.0001474376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4821352,0.001086138,0.48861,0.000505488,0.0001934708,0.0002150087,0.0003298669,0.009169145,0.01775566],"genre_scores_gemma":[0.920011,0.0003628806,0.06958895,0.0000918616,0.00007145351,0.00005178893,0.0002819363,0.00007521582,0.009464853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003712424,"threshold_uncertainty_score":0.01241928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09589123111397532,"score_gpt":0.333868427991565,"score_spread":0.2379771968775896,"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."}}