{"id":"W1969663682","doi":"10.1109/icdar.2013.119","title":"Verification of Hierarchical Classifier Results for Handwritten Arabic Word Spotting","year":2013,"lang":"en","type":"article","venue":"","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Spotting; Computer science; Classifier (UML); Artificial intelligence; Word (group theory); Keyword spotting; Speech recognition; Natural language processing; Arabic; Recall rate; 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":[0.004450059,0.0006981579,0.001061131,0.002165098,0.0006065519,0.001209457,0.001161235,0.0008770131,0.001809334],"category_scores_gemma":[0.01549031,0.0002447428,0.0005038898,0.0008792597,0.000364624,0.001638179,0.0008304655,0.0005007908,0.001860001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009930241,"about_ca_system_score_gemma":0.001430454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005658213,"about_ca_topic_score_gemma":0.006491452,"domain_scores_codex":[0.9951093,0.0006511901,0.0004056807,0.0007978874,0.002698511,0.0003373935],"domain_scores_gemma":[0.9881053,0.002733006,0.001361141,0.001955673,0.005528973,0.0003158058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001439493,0.0002701578,0.04582037,0.0002964352,0.0002658812,0.0003502393,0.0003509371,0.01765531,0.1311153,0.001612313,0.003527442,0.7972962],"study_design_scores_gemma":[0.00006189523,0.0005403906,0.04326282,0.00003333394,0.0001741886,0.0004807072,0.0001765604,0.6923904,0.2595212,0.001349596,0.001931301,0.0000775899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6040246,0.0008849623,0.3763169,0.0001706185,0.0001853404,0.0003084572,0.0005906862,0.01224619,0.005272218],"genre_scores_gemma":[0.9004132,0.0000937729,0.09691914,0.00004001954,0.00002506074,0.00005652822,0.0006120006,0.000124664,0.001715605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005658213,"threshold_uncertainty_score":0.02353442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544966733937088,"score_gpt":0.2639441580145219,"score_spread":0.238494490675151,"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."}}