{"id":"W4402712667","doi":"","title":"Initiation to Handwritten Text Recognition with eScriptorium","year":2024,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Text recognition; Speech recognition; Artificial intelligence; Character recognition; Natural language processing","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":[0.000746922,0.001643724,0.001279958,0.001135658,0.001143311,0.002437788,0.001498567,0.001297564,0.09445812],"category_scores_gemma":[0.003222906,0.0009684731,0.0008784086,0.0009043325,0.0007155641,0.002393618,0.002774411,0.001338485,0.06327844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006397816,"about_ca_system_score_gemma":0.001313412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001780957,"about_ca_topic_score_gemma":0.002278683,"domain_scores_codex":[0.9984621,0.0002069583,0.0001299478,0.0003377562,0.000482378,0.0003808678],"domain_scores_gemma":[0.9969502,0.0006397492,0.0001838557,0.001173916,0.000869372,0.0001828839],"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":[0.003554553,0.0005184244,0.002067809,0.0006383723,0.00004850349,0.002555084,0.0008355837,0.002880921,0.2491742,0.01504391,0.1153147,0.6073679],"study_design_scores_gemma":[0.0001628344,0.0005497509,0.001786863,0.0001429784,0.00005425611,0.0007874377,0.000287096,0.05389879,0.7215549,0.008620698,0.2120604,0.00009397288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06502312,0.0006687111,0.6667413,0.001360498,0.003118709,0.001686258,0.003547414,0.1623907,0.09546325],"genre_scores_gemma":[0.373772,0.0005797186,0.2948109,0.001274246,0.0008202587,0.0009458522,0.005850036,0.01656707,0.30538],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09445812,"threshold_uncertainty_score":0.3159939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140288536298718,"score_gpt":0.2243038828140989,"score_spread":0.2102750291842271,"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."}}