{"id":"W2034249906","doi":"10.1145/1815330.1815332","title":"IBN SINA","year":2010,"lang":"en","type":"article","venue":"","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; École de Technologie Supérieure; EcoSynthetix (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Support vector machine; Preprocessor; Artificial intelligence; Feature extraction; Class (philosophy); Pattern recognition (psychology); Process (computing); Set (abstract data type); Data mining; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001105819,0.001325065,0.001109349,0.002479344,0.001805252,0.003430646,0.001086361,0.001129901,0.3246332],"category_scores_gemma":[0.001167596,0.0004765647,0.0004315377,0.003240507,0.0005365895,0.0016677,0.00249455,0.001338413,0.2467769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122315,"about_ca_system_score_gemma":0.002178437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005063521,"about_ca_topic_score_gemma":0.005682772,"domain_scores_codex":[0.9992773,0.00007353591,0.00004488246,0.0002185515,0.0002875722,0.00009815038],"domain_scores_gemma":[0.9991035,0.00008608004,0.00007568777,0.0002123155,0.0003486598,0.0001739022],"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":[0.0011108,0.0003204996,0.005871206,0.0008345023,0.000034244,0.001197151,0.0003483578,0.001075376,0.01201069,0.02409341,0.2926328,0.660471],"study_design_scores_gemma":[0.00004545653,0.00006740271,0.003751102,0.0001626013,0.00001265715,0.0007271167,0.0001423254,0.0009695188,0.002486796,0.001969835,0.9896424,0.00002279477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01739947,0.009973914,0.009328892,0.002799537,0.002258724,0.0003269851,0.01228777,0.005576394,0.9400483],"genre_scores_gemma":[0.04612625,0.006156228,0.01453177,0.0009354253,0.000523228,0.0003851672,0.0295885,0.001410317,0.9003431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3246332,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009366595314929501,"score_gpt":0.2443611323706491,"score_spread":0.2349945370557196,"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."}}