{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002978862,0.0002406449,0.0001998062,0.0004339386,0.0002730076,0.001256504,0.000947004,0.0001216252,0.0001504249],"category_scores_gemma":[0.0005014666,0.000229066,0.00009196856,0.001393208,0.00008432868,0.001042662,0.0003179107,0.0002893669,0.0005865679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001255442,"about_ca_system_score_gemma":0.0001942148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002044355,"about_ca_topic_score_gemma":0.0003586111,"domain_scores_codex":[0.9965106,0.001527772,0.0003665508,0.0007630879,0.0004761622,0.0003558484],"domain_scores_gemma":[0.9961916,0.0007163873,0.0001064033,0.001072453,0.001680216,0.0002329227],"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":[0.00001191242,0.0002728007,0.0001737618,0.0001067831,0.000052388,0.00003453923,0.008642336,0.000002448772,0.01383863,0.1156016,0.008823399,0.8524394],"study_design_scores_gemma":[0.0007799622,0.00000940885,0.001758218,0.004521772,0.00005572486,0.0001709881,0.0001723605,0.02528607,0.8155279,0.03025367,0.1202636,0.00120035],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01371919,0.0002618061,0.918843,0.0161799,0.000200464,0.0004159927,0.00002112981,0.00157584,0.04878267],"genre_scores_gemma":[0.6757251,0.0001105189,0.3192724,0.0006341753,0.00004718293,0.0002040975,0.0001399993,0.0000451573,0.003821342],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.851239,"threshold_uncertainty_score":0.9997803,"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."}}