{"id":"W1735900717","doi":"10.1109/icpr.1988.28459","title":"Online handwriting recognition-a survey","year":2003,"lang":"en","type":"article","venue":"","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Handwriting; Computer science; Preprocessor; Handwriting recognition; Code (set theory); Speech recognition; Artificial intelligence; Natural language processing; Pattern recognition (psychology); Feature extraction; Programming language","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":[0.000770328,0.0009619192,0.001248152,0.004594564,0.0003282101,0.001933541,0.001748347,0.0009518997,0.01253837],"category_scores_gemma":[0.002387993,0.0004393464,0.0005274329,0.005829711,0.000300527,0.003780279,0.000694996,0.0005862458,0.01111228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003397102,"about_ca_system_score_gemma":0.0006913959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001547827,"about_ca_topic_score_gemma":0.001331887,"domain_scores_codex":[0.9987805,0.0001102016,0.0001448482,0.000306062,0.000590377,0.00006799655],"domain_scores_gemma":[0.997924,0.0008605488,0.000171429,0.0002290435,0.000719024,0.00009594011],"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":[0.00003484349,0.0000740629,0.0006202423,0.001037617,0.0000143162,0.00004748966,0.0000298902,0.0005603046,0.001364555,0.000596877,0.0082119,0.987408],"study_design_scores_gemma":[0.00002762271,0.0004703731,0.01222316,0.002649634,0.0001524604,0.00438008,0.0004210338,0.01482811,0.01842378,0.004128253,0.9421843,0.0001112116],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02405839,0.757827,0.146305,0.001082205,0.001028554,0.0002740084,0.001600089,0.004059137,0.06376559],"genre_scores_gemma":[0.08378636,0.7391149,0.09450874,0.001190527,0.001677685,0.0002782172,0.006192798,0.0006068847,0.07264385],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01253837,"threshold_uncertainty_score":0.04194504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05323647362602463,"score_gpt":0.2833301431999252,"score_spread":0.2300936695739005,"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."}}