{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004588394,0.0005989407,0.0004365021,0.0007655658,0.0002866958,0.0008273516,0.0006182651,0.0009513557,0.008310468],"category_scores_gemma":[0.002306393,0.0001654089,0.0003179347,0.0006157373,0.0002455356,0.0007939927,0.0006711092,0.0005200424,0.006348795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002381254,"about_ca_system_score_gemma":0.0002283895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004254837,"about_ca_topic_score_gemma":0.0004438547,"domain_scores_codex":[0.9992051,0.0001775661,0.00005914827,0.0001381587,0.0003609355,0.00005915804],"domain_scores_gemma":[0.999131,0.0001839543,0.00008677867,0.000239359,0.0003186127,0.00004019451],"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":[0.000636343,0.00006638223,0.002997797,0.0008730353,0.00007107193,0.001157583,0.0001362475,0.003432958,0.1735201,0.01366086,0.02352541,0.7799222],"study_design_scores_gemma":[0.0002122401,0.001596895,0.02660124,0.0009932371,0.0003014586,0.01857127,0.0002655777,0.2585934,0.2604568,0.02098416,0.4111879,0.0002358182],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02890588,0.01687647,0.9201107,0.001753781,0.001645841,0.000330993,0.0007679234,0.006745663,0.02286268],"genre_scores_gemma":[0.6474917,0.01192897,0.2965598,0.0009991886,0.001165674,0.0003078616,0.001605269,0.0002831381,0.03965838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008310468,"threshold_uncertainty_score":0.02780128,"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."}}