{"id":"W2268339064","doi":"10.1109/tim.2015.2503863","title":"ECG Authentication for Mobile Devices","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Password; Biometrics; Login; Computer science; Authentication (law); Mobile phone; Mobile device; Mobile computing; Mobile telephony; Computer security; Real-time computing; Computer network; Mobile radio; World Wide Web; Telecommunications","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":[0.0002582999,0.0000795771,0.0001060231,0.0001072878,0.0001026229,0.00002353487,0.00001932182,0.00003296895,0.00001590219],"category_scores_gemma":[0.000005737366,0.00007114548,0.0000561659,0.00009269502,0.00001955686,0.0000726451,2.022608e-7,0.00004936921,0.00001213822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000142298,"about_ca_system_score_gemma":0.00006181382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002560522,"about_ca_topic_score_gemma":0.00002213815,"domain_scores_codex":[0.9992559,0.00001749347,0.0001598233,0.0001521199,0.0003212471,0.00009342722],"domain_scores_gemma":[0.999496,0.00001041329,0.00004304541,0.00009791848,0.0002181936,0.0001344734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000700066,0.001143433,0.003898667,0.0002604318,0.0005644266,0.000001164097,0.002816432,0.001338281,0.04529034,0.00004883339,0.0006612141,0.9432767],"study_design_scores_gemma":[0.01839762,0.00466785,0.008029194,0.0006026456,0.002945798,0.00004170567,0.01592961,0.04056918,0.8810817,0.000314091,0.0266727,0.0007479211],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4930434,0.0000977226,0.504374,0.0008244358,0.0005725191,0.0007003761,0.00001030006,0.00008155886,0.0002956828],"genre_scores_gemma":[0.9953793,0.0000328075,0.003688636,0.0001904178,0.00004471728,0.0002583644,0.000007087782,0.000009109353,0.0003895212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9425288,"threshold_uncertainty_score":0.2901229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09934890795299116,"score_gpt":0.3300864638977701,"score_spread":0.2307375559447789,"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."}}