{"id":"W4360989104","doi":"10.18280/ria.370116","title":"Artificial Neural Network-Based Fingerprint Classification and Recognition","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Artificial intelligence; Fingerprint (computing); Pattern recognition (psychology); Computer science","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":[0.001116351,0.0008723659,0.0008863824,0.001380985,0.0002845011,0.0009223313,0.001285021,0.001118495,0.002237696],"category_scores_gemma":[0.002692634,0.0002521918,0.0007042791,0.00144712,0.0003425583,0.00134225,0.0005227953,0.001081327,0.001003657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008164517,"about_ca_system_score_gemma":0.0007903467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009029833,"about_ca_topic_score_gemma":0.006810785,"domain_scores_codex":[0.9991075,0.0001248324,0.00008633353,0.0002535376,0.0003193408,0.0001083923],"domain_scores_gemma":[0.9991522,0.0002445313,0.00009435041,0.00009235932,0.0003880034,0.00002854799],"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":[0.0002215543,0.0003268343,0.003608544,0.0002614676,0.0001765649,0.0001068786,0.0000290275,0.158265,0.009819938,0.00251284,0.006560393,0.8181109],"study_design_scores_gemma":[0.000007486498,0.00005877182,0.001310935,0.00002834608,0.00003245548,0.00005119236,0.000008250713,0.9910121,0.004380104,0.001165777,0.001929624,0.00001496044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07427105,0.009594663,0.89736,0.0009281936,0.0008275677,0.0002461127,0.00106497,0.003840664,0.01186684],"genre_scores_gemma":[0.7587779,0.006302997,0.2139976,0.000607162,0.0003721655,0.0002892904,0.002444675,0.0001210736,0.01708715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009029833,"threshold_uncertainty_score":0.01795453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1197279100865883,"score_gpt":0.2983767486331179,"score_spread":0.1786488385465296,"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."}}