{"id":"W2036107618","doi":"10.1109/dt.2014.6868715","title":"Application of biometric technologies in biomedical systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Biometrics; Computer science; Biometric data; Access control; Human–computer interaction; Health care; Computer security","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":[0.0006102439,0.00004667269,0.0001113138,0.002340197,0.00001578744,0.00003621619,0.000708707,0.00009016084,0.000002008372],"category_scores_gemma":[0.0002121435,0.00003807496,0.0000188935,0.009028927,0.00007013354,0.0001076599,0.0001197713,0.00005175056,0.00004122105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000229,"about_ca_system_score_gemma":0.00001359112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001652859,"about_ca_topic_score_gemma":0.000002729277,"domain_scores_codex":[0.9991688,0.0000341283,0.0002568637,0.0002019413,0.0002322852,0.0001059407],"domain_scores_gemma":[0.9992865,0.0000947352,0.00008346043,0.0004548638,0.00005791896,0.00002249611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[5.121091e-7,0.0001451078,0.003826314,0.00003756118,0.0000026506,1.918213e-7,0.00004036249,0.000002545818,0.003263786,0.5995504,0.0005324042,0.3925982],"study_design_scores_gemma":[0.0004478839,0.0000864899,0.02391993,0.00001273873,0.000002039648,0.000006705008,0.0001774183,0.8423863,0.007598237,0.005942411,0.1192199,0.0001999163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004273311,0.0001708065,0.9933181,0.0006448076,0.0001573301,0.0001105672,6.90049e-7,0.0002289523,0.001095395],"genre_scores_gemma":[0.9888055,0.00001420741,0.01108538,0.00001100031,0.000005760825,0.00001730918,0.000002405739,0.00000147751,0.000056934],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9845322,"threshold_uncertainty_score":0.4338101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272387664887425,"score_gpt":0.245101087117231,"score_spread":0.2323772104683567,"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."}}