{"id":"W2891482866","doi":"10.1049/iet-bmt.2018.5067","title":"Biometric ontology for semantic biometric‐as‐a‐service (BaaS) applications: a border security use case","year":2018,"lang":"en","type":"article","venue":"IET Biometrics","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Semtech (Canada)","funders":"","keywords":"Biometrics; Computer science; Ontology; Identification (biology); Focus (optics); Modalities; Cloud computing; Analytics; Data science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00758081,0.00076513,0.0005543359,0.00289482,0.003712658,0.00699045,0.001930184,0.005084972,0.0030254],"category_scores_gemma":[0.00523556,0.0007086337,0.002008342,0.003281846,0.00397509,0.01194112,0.006108012,0.003593437,0.0008279139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005181984,"about_ca_system_score_gemma":0.005640801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01990902,"about_ca_topic_score_gemma":0.01913967,"domain_scores_codex":[0.9932995,0.002406672,0.0007010105,0.0005581118,0.002176374,0.000858299],"domain_scores_gemma":[0.9973695,0.001039743,0.0001958323,0.0005417209,0.000607719,0.0002455123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007294847,0.000241382,0.002009359,0.0002398293,0.00003451844,0.004171034,0.005240145,0.004220847,0.00534444,0.9427828,0.00735602,0.02828664],"study_design_scores_gemma":[0.00004806658,0.00007378251,0.001884112,0.0006199452,0.0001038452,0.005871932,0.008365731,0.08189594,0.01136525,0.276427,0.6132329,0.0001115058],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06493291,0.001582537,0.8205664,0.01371688,0.0003533601,0.001137333,0.001385223,0.001480952,0.09484447],"genre_scores_gemma":[0.454124,0.002542141,0.5167306,0.00196333,0.0001312446,0.0009515207,0.002390536,0.0005005199,0.02066615],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01990902,"threshold_uncertainty_score":0.04009169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04949952315023018,"score_gpt":0.3452606515007424,"score_spread":0.2957611283505122,"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."}}