{"id":"W2592908060","doi":"","title":"A Dissimilarity Measure for On-Line Signature Verification Based on the Sigma-Lognormal Model","year":2015,"lang":"en","type":"preprint","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Measure (data warehouse); Dynamic time warping; Signature (topology); Artificial intelligence; Image warping; Pattern recognition (psychology); Line (geometry); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001896266,0.0004924287,0.001074499,0.001576957,0.0004264247,0.001250215,0.001371766,0.00110096,0.001218012],"category_scores_gemma":[0.00752054,0.000270627,0.00091741,0.001440474,0.0008742073,0.002053969,0.001390139,0.001111475,0.0003714699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336863,"about_ca_system_score_gemma":0.001042337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003145498,"about_ca_topic_score_gemma":0.0022875,"domain_scores_codex":[0.9975609,0.0006782141,0.0001645173,0.0004219187,0.001012437,0.0001620709],"domain_scores_gemma":[0.9958851,0.001913819,0.0005891856,0.0006505998,0.0007846595,0.0001767218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006873729,0.0001894586,0.006404882,0.0001953344,0.0001591408,0.000226649,0.0001435711,0.649981,0.0243287,0.06042738,0.001023717,0.2562328],"study_design_scores_gemma":[0.000003740064,0.00006148111,0.0005556883,0.000007481715,0.000007955302,0.00009534775,0.00001070368,0.9904866,0.001277528,0.007151959,0.0003309165,0.00001071387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02593189,0.0002090289,0.9731953,0.00005188572,0.00002468464,0.00001605636,0.00003643187,0.0000976285,0.0004370904],"genre_scores_gemma":[0.8528637,0.0003825838,0.1438026,0.00008435884,0.00008461732,0.00005830041,0.0002629147,0.00008176776,0.00237926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003145498,"threshold_uncertainty_score":0.01002854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04256734429828776,"score_gpt":0.2714658586875179,"score_spread":0.2288985143892302,"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."}}