{"id":"W4239257072","doi":"10.1109/icdar.2019.00004","title":"Table of Contents","year":2019,"lang":"en","type":"article","venue":"","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Informatics; National Laboratory of Pattern Recognition; Aston University; Baidu; Université de Montréal; University of Chinese Academy of Sciences; Chinese Academy of Sciences","keywords":"Table (database); Computer science; Database","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007341302,0.00003259325,0.00007248513,0.00004043843,0.000006472574,0.00001624934,0.0003109962,0.00001968924,0.0003870328],"category_scores_gemma":[0.00000776314,0.00002692176,0.00002032503,0.000128724,0.000008046499,0.0002367736,0.00008428333,0.00002461894,0.0003772632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003404703,"about_ca_system_score_gemma":0.00001008018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002965623,"about_ca_topic_score_gemma":0.00000110912,"domain_scores_codex":[0.9996225,0.000009854851,0.00009288755,0.0001020136,0.00009712412,0.00007568491],"domain_scores_gemma":[0.9996148,0.00001987253,0.0000317249,0.0002380367,0.00007496939,0.00002061394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006056461,0.0002177825,0.0237035,0.00006615975,0.00003228701,0.000004168887,0.0002368379,0.000001488301,0.1878244,0.5725957,0.02563126,0.1896804],"study_design_scores_gemma":[0.0002696027,0.0001146745,0.0019443,0.00002352034,0.000001021887,0.000005056144,0.00001434162,0.003129206,0.9738383,0.009979432,0.0105774,0.0001030967],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04434467,0.00001954948,0.7349955,0.0001999455,0.0001252584,0.0001686408,0.000001043812,0.0003038095,0.2198415],"genre_scores_gemma":[0.9339272,0.000003486331,0.06015206,0.0002405839,0.000003307137,0.000003498916,4.325877e-7,0.000001926172,0.005667452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8895826,"threshold_uncertainty_score":0.4849081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01690827792960963,"score_gpt":0.2428886422873695,"score_spread":0.2259803643577599,"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."}}