{"id":"W2052918223","doi":"10.1045/march2006-choudhury","title":"Document Recognition for a Million Books","year":2006,"lang":"en","type":"article","venue":"D-Lib Magazine","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; World Wide Web; Information retrieval; Scalability; Process (computing); Digital library; Order (exchange); Database; Linguistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002909978,0.0001540775,0.0001555872,0.0001760988,0.00009772711,0.0001754363,0.0003399594,0.00007605446,0.00007227171],"category_scores_gemma":[0.00002898508,0.0001506572,0.0001026767,0.0002183741,0.00002838119,0.0004915275,0.00008525966,0.00007970831,0.0004697111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004386431,"about_ca_system_score_gemma":0.00002807232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002168072,"about_ca_topic_score_gemma":0.00002101752,"domain_scores_codex":[0.9987881,0.00003849505,0.0002968998,0.0003798612,0.0002038553,0.0002928148],"domain_scores_gemma":[0.9992473,0.00007668415,0.000104465,0.0003307368,0.0001811124,0.00005971486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003217453,0.0002033224,0.00006192093,0.00007479866,0.00001796942,0.00001989656,0.00007491382,0.000002248195,0.02364621,0.02598008,0.1811613,0.7687252],"study_design_scores_gemma":[0.001284346,0.0003721118,0.001144617,0.00009139849,0.00002072312,0.00005148112,0.000003942269,0.002355247,0.2248774,0.4321438,0.3371295,0.0005253881],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006921027,0.000119685,0.9676587,0.001429531,0.0002463014,0.0007534119,0.00002480738,0.001012258,0.02183425],"genre_scores_gemma":[0.2472992,0.00006691457,0.736724,0.002105872,0.0007375785,0.001138517,0.0004348739,0.0000637521,0.0114293],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7681998,"threshold_uncertainty_score":0.6143621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687287626591295,"score_gpt":0.2506368321123671,"score_spread":0.2337639558464542,"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."}}