{"id":"W2122287370","doi":"10.1109/have.2003.1244730","title":"Dynamic signature verification system using stroked based features","year":2004,"lang":"en","type":"article","venue":"","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Feature extraction; Pattern recognition (psychology); Signature (topology); Artificial intelligence; Probabilistic logic; Correlation; Classifier (UML); Feature (linguistics); Data mining; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001591821,0.0001250868,0.0001171137,0.0001571401,0.0001136541,0.0001668956,0.0004843587,0.0001238408,0.00001073781],"category_scores_gemma":[0.00001397782,0.0001113138,0.00006076593,0.0003471187,0.00002214223,0.0003745948,0.00004537954,0.0001482465,0.00003183741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002660478,"about_ca_system_score_gemma":0.0001124395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005610047,"about_ca_topic_score_gemma":0.00001520717,"domain_scores_codex":[0.9990476,0.00004535225,0.0001629264,0.0003224089,0.0002357681,0.000185929],"domain_scores_gemma":[0.9992667,0.00002297587,0.00007717322,0.0004503496,0.0001192206,0.00006353839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002921254,0.0003418293,0.00007848511,0.0003377268,0.00006036029,0.0001054655,0.0005107934,0.006233132,0.547498,0.3575892,0.0007331576,0.08648258],"study_design_scores_gemma":[0.001118306,0.0001439242,0.001871371,0.0003451117,0.00002148989,0.0001104975,0.0001454827,0.4162845,0.5744359,0.00445817,0.0004218656,0.0006433935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01051153,0.00005903441,0.9853675,0.0003834547,0.0001349338,0.0002381012,0.000003518958,0.001425114,0.001876833],"genre_scores_gemma":[0.6374495,8.919565e-7,0.3622849,0.0001788843,0.00001041591,0.0000112175,0.00000645457,0.000006736067,0.00005101453],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.626938,"threshold_uncertainty_score":0.4539247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114018671443457,"score_gpt":0.2490911526010136,"score_spread":0.2379509658865791,"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."}}