{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"c38854952b35","filters":{"venue":"Journal of Signal Processing"}},"results":[{"id":"W2331484623","doi":"10.2299/jsp.17.1","title":"Construction and Performance of Authentication Systems for Fingerprint with Neural Networks","year":2013,"lang":"en","type":"article","venue":"Journal of Signal Processing","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Tembec","funders":"","keywords":"Authentication (law); Fingerprint (computing); Computer science; Artificial neural network; Backpropagation; Fingerprint recognition; Artificial intelligence; Pattern recognition (psychology); Data mining; Computer security","authors":[{"name":"Akihiro Tanaka","is_ca":false},{"name":"Kentaro Kinoshita","is_ca":false},{"name":"Satoru Kishida","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01470726648146666,"gpt":0.2234681009276895,"spread":0.2087608344462228,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001533034,0.0006475883,0.0005740396,0.0009340005,0.0007450017,0.0006663806,0.0007138838,0.0007396304,0.001519767],"category_scores_gemma":[0.003860187,0.0003511375,0.0005181521,0.0004258811,0.0005895178,0.001323407,0.0009935318,0.000578135,0.0004897859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262781,"about_ca_system_score_gemma":0.0009845532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004987994,"about_ca_topic_score_gemma":0.002388353,"domain_scores_codex":[0.9991106,0.0001778737,0.00007090066,0.0002378793,0.0002810435,0.0001216285],"domain_scores_gemma":[0.9986016,0.0002988475,0.0001401608,0.0002223111,0.0006755996,0.00006159989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001300152,0.0003595212,0.01241644,0.0002927148,0.0002014195,0.0002359217,0.0003135754,0.4287957,0.1202351,0.008744691,0.002092297,0.4250126],"study_design_scores_gemma":[0.00001821338,0.000211495,0.002473628,0.000009451079,0.00004069053,0.0000573556,0.00002037922,0.9473646,0.04824901,0.0009523021,0.0005719717,0.00003095162],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3387848,0.0003326721,0.6544544,0.0001991321,0.0001523616,0.0002026325,0.0001125605,0.002839144,0.00292228],"genre_scores_gemma":[0.9215859,0.00008210084,0.07701065,0.00002447162,0.00001271652,0.00009239159,0.0001087666,0.00003167594,0.001051428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004987994,"threshold_uncertainty_score":0.009917915,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}