{"id":"W3204434795","doi":"10.1007/978-3-030-81982-8_4","title":"Security with ECG Biometrics","year":2021,"lang":"en","type":"book-chapter","venue":"Smart sensors, measurement and instrumentation","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Biometrics; Terminology; Computer science; Face (sociological concept); Process (computing); Computer security; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003157552,0.0003181458,0.0004754946,0.0004911529,0.0001372667,0.00006287129,0.00003470779,0.0002056808,0.0002251912],"category_scores_gemma":[0.00003723868,0.0002719343,0.000125033,0.0001795732,0.00007510839,0.00008226427,0.00002501361,0.0002958573,0.00002797317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002547365,"about_ca_system_score_gemma":0.0001225593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004436208,"about_ca_topic_score_gemma":0.00003897063,"domain_scores_codex":[0.9978978,0.00002326801,0.0003374132,0.0004444071,0.001106003,0.000191094],"domain_scores_gemma":[0.9988523,0.00001583971,0.0002118766,0.0002626789,0.0004984954,0.0001587935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001947989,0.001055189,0.2959698,0.005765962,0.01413951,0.00103643,0.002307052,0.00001627244,0.01941579,0.00911018,0.01302973,0.6362061],"study_design_scores_gemma":[0.02548239,0.007241693,0.04195492,0.01651274,0.02440931,0.0009454698,0.003776191,0.002613918,0.07306323,0.003209056,0.794368,0.006423128],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3442254,0.007048422,0.0004242862,0.002320451,0.00165843,0.001703298,0.00009590259,0.0003546535,0.6421691],"genre_scores_gemma":[0.79215,0.004092116,0.002996626,0.0003039345,0.0009963777,0.00001870741,0.0009924622,0.000139072,0.1983107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7813382,"threshold_uncertainty_score":0.9999733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04232562283935297,"score_gpt":0.2468690738733661,"score_spread":0.2045434510340131,"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."}}