{"id":"W3133596308","doi":"10.1007/978-3-319-98734-7","title":"Biometric-Based Physical and Cybersecurity Systems","year":2018,"lang":"en","type":"book","venue":"","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":105,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Victoria","funders":"","keywords":"Biometrics; Computer security; Computer science; Engineering","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":[0.0003124886,0.001307574,0.0008177509,0.001660741,0.0004576785,0.002099758,0.001055244,0.001079092,0.09618588],"category_scores_gemma":[0.0008689719,0.0003953929,0.0004766533,0.002025692,0.0004886169,0.003420777,0.00144559,0.001323462,0.0646979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006513346,"about_ca_system_score_gemma":0.0005238383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005731636,"about_ca_topic_score_gemma":0.001331256,"domain_scores_codex":[0.9995044,0.00003739636,0.0000181388,0.00006869433,0.0003497048,0.00002165444],"domain_scores_gemma":[0.9997417,0.00007420102,0.00001399396,0.00005604924,0.00009066502,0.00002338939],"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":[0.00003298032,0.00004395972,0.0001062877,0.0005530567,0.00001926936,0.00009510835,0.00005749007,0.0007723757,0.005805962,0.03386178,0.3429769,0.6156749],"study_design_scores_gemma":[0.000004156255,0.00003239218,0.0003945406,0.0002444383,0.000009711827,0.0005277657,0.00002544898,0.001645873,0.001818523,0.01426329,0.9810191,0.00001468333],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001797722,0.09201188,0.1191921,0.002822548,0.009221211,0.0001825217,0.001247965,0.002403542,0.7711205],"genre_scores_gemma":[0.006023418,0.02944922,0.01504059,0.0006721467,0.001079205,0.00007510222,0.0007649263,0.0002861597,0.9466093],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09618588,"threshold_uncertainty_score":0.3217738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02056590995455489,"score_gpt":0.2476442830151614,"score_spread":0.2270783730606065,"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."}}