{"id":"W2911424601","doi":"10.1145/3274658","title":"A Perspective Analysis of Handwritten Signature Technology","year":2019,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":249,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Perspective (graphical); Signature (topology); Artificial intelligence; Natural language processing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003201868,0.0006515728,0.003950426,0.004359682,0.0001130894,0.0001423161,0.005359216,0.001005625,0.00002862885],"category_scores_gemma":[0.00126466,0.0005771667,0.001414242,0.01098775,0.0001575005,0.0001813385,0.002528931,0.001121465,0.0000942404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002836912,"about_ca_system_score_gemma":0.0004239129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001125447,"about_ca_topic_score_gemma":0.00002252784,"domain_scores_codex":[0.9946559,0.001790381,0.001123816,0.001372063,0.0005000122,0.0005578079],"domain_scores_gemma":[0.9925381,0.002003713,0.001298735,0.003159568,0.0009123153,0.00008757768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[3.028506e-7,0.00006415743,0.00004441062,0.00133919,0.00231576,0.00001540321,0.0001328121,0.00000610233,8.516481e-7,0.002881957,0.0002708251,0.9929282],"study_design_scores_gemma":[0.001294914,0.001299681,0.00101752,0.04244998,0.03090418,0.0003391862,0.000334313,0.01881065,0.000279341,0.02613374,0.869158,0.0079785],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000003796577,0.6868256,0.311128,0.00006686193,0.0002147619,0.0005504836,0.00005015983,0.0006752762,0.0004850956],"genre_scores_gemma":[0.000678742,0.9466631,0.05207967,0.0000455665,0.0000796822,0.00003208546,0.0001335616,0.00006635697,0.000221186],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9849497,"threshold_uncertainty_score":0.999668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05095119436942392,"score_gpt":0.3541816603901525,"score_spread":0.3032304660207286,"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."}}