{"id":"W2088257085","doi":"10.1109/icfhr.2014.33","title":"Novel Handwritten Words and Documents Databases of Five Middle Eastern Languages","year":2014,"lang":"en","type":"article","venue":"","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Lexicon; Artificial intelligence; Natural language processing; Urdu; Support vector machine; Arabic; Perceptron; Linguistics; Artificial neural network","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":[0.0004063274,0.0005404003,0.0005416901,0.002461665,0.000456629,0.000954764,0.0006214023,0.0005751254,0.003710583],"category_scores_gemma":[0.001657694,0.0001259913,0.0003022103,0.00240331,0.0003264934,0.0007932652,0.0006782319,0.0003157068,0.001859453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000331773,"about_ca_system_score_gemma":0.0004562179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003046442,"about_ca_topic_score_gemma":0.005767545,"domain_scores_codex":[0.999281,0.00007408792,0.0001462408,0.0001710617,0.0002511157,0.0000765201],"domain_scores_gemma":[0.9983784,0.0002906437,0.0001990142,0.0002987266,0.0006724457,0.0001608039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003882545,0.001318707,0.04209122,0.001903893,0.0002250406,0.005582287,0.0012445,0.007623689,0.1451295,0.001426158,0.02401895,0.7655535],"study_design_scores_gemma":[0.0004458929,0.001956606,0.4406255,0.0003015807,0.0003004977,0.01336822,0.006478188,0.07533898,0.309452,0.00191725,0.1495169,0.0002986262],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554437,0.001436891,0.01245153,0.0001916293,0.0001994246,0.0002943863,0.02078263,0.001398748,0.007801164],"genre_scores_gemma":[0.8964075,0.0005395413,0.03504613,0.0001184298,0.00008704708,0.0002688875,0.05955194,0.000112446,0.007867964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003710583,"threshold_uncertainty_score":0.0124132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463785012720913,"score_gpt":0.2770583939029918,"score_spread":0.2524205437757827,"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."}}