{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003508188,0.0001392916,0.0001915327,0.000370066,0.0001513476,0.0003255603,0.0004401855,0.00005183208,0.00003042232],"category_scores_gemma":[0.00002829044,0.0001309551,0.00005438255,0.001569382,0.00003798349,0.0002255595,0.0002321401,0.00009935788,0.00002758894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000774794,"about_ca_system_score_gemma":0.00003900788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004900671,"about_ca_topic_score_gemma":0.000001668841,"domain_scores_codex":[0.998641,0.00007549175,0.0003238769,0.0004155334,0.0003311117,0.0002129682],"domain_scores_gemma":[0.9993362,0.00006519545,0.0001218949,0.0001842284,0.00009186457,0.0002006222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001349672,0.001768816,0.04830196,0.002856924,0.0007469201,0.0003293106,0.0392736,0.0009522788,0.2472645,0.321425,0.001605913,0.3353398],"study_design_scores_gemma":[0.001197269,0.0000912939,0.03602345,0.00003660315,0.00002300798,0.00002369339,0.0004661444,0.9502373,0.007863521,0.00002086056,0.003673166,0.0003436875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2246076,0.0002195965,0.7740041,0.0005747082,0.0001470883,0.0002042358,0.0000067736,0.0001729779,0.00006289529],"genre_scores_gemma":[0.9749133,0.00001075997,0.02467148,0.0003218737,0.00005716125,0.000007880234,0.000002389333,0.000006387607,0.000008755557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.949285,"threshold_uncertainty_score":0.5340192,"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."}}