{"id":"W3118603879","doi":"10.18280/ts.370602","title":"Contactless Multi-biometric System Using Fingerprint and Palmprint Selfies","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Artificial intelligence; Fingerprint (computing); Computer science; Fingerprint recognition; Computer vision; Landmark; Pattern recognition (psychology); Palm print","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003379957,0.0003276874,0.0008124227,0.0006755473,0.0002523982,0.0006020623,0.0005706447,0.0005844473,0.001805675],"category_scores_gemma":[0.0005933411,0.0001448922,0.0003413474,0.0004973275,0.0001259557,0.001049165,0.0009158244,0.0002810259,0.001387153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001783031,"about_ca_system_score_gemma":0.0001773272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005997602,"about_ca_topic_score_gemma":0.0005820434,"domain_scores_codex":[0.99928,0.00006280611,0.00004353681,0.0002187097,0.0003353087,0.00005962996],"domain_scores_gemma":[0.9996746,0.00002804355,0.00006381219,0.0001071668,0.0000998312,0.00002665929],"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":[0.0009526663,0.000356162,0.008646965,0.0002225277,0.0001236734,0.0005684611,0.0001469813,0.004792586,0.4824862,0.0009274756,0.002728516,0.4980479],"study_design_scores_gemma":[0.0001056196,0.002511161,0.0852363,0.0000700573,0.0002356189,0.007175233,0.000246078,0.435994,0.4547679,0.001356575,0.01211242,0.0001890838],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5223352,0.001237044,0.461248,0.0002061815,0.0001527935,0.000250255,0.0008278464,0.007008051,0.00673471],"genre_scores_gemma":[0.9425112,0.0002814395,0.05116469,0.0001089304,0.00003521342,0.00006173709,0.0005674693,0.00002530727,0.005244096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001805675,"threshold_uncertainty_score":0.006040573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07392427419079446,"score_gpt":0.2528065594042479,"score_spread":0.1788822852134535,"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."}}