{"id":"W2402361188","doi":"","title":"Recommendation systems in mathematical character recognition.","year":2013,"lang":"en","type":"article","venue":"","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Handwriting; Character (mathematics); Computer science; Intelligent character recognition; Natural language processing; Handwriting recognition; Artificial intelligence; Character recognition; Linguistics; Psychology; Mathematics; Feature extraction","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003271118,0.00009470001,0.0001341183,0.0001967634,0.00002916754,0.0002936586,0.0002683907,0.00007117439,0.00355532],"category_scores_gemma":[0.00004799862,0.00008105143,0.00002951973,0.0002527207,0.00001319572,0.001322045,0.00007988858,0.000111923,0.006232446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004585113,"about_ca_system_score_gemma":0.00001385936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008862777,"about_ca_topic_score_gemma":0.000002865592,"domain_scores_codex":[0.9990265,0.00008721911,0.0003308801,0.0002425726,0.0001182501,0.0001945727],"domain_scores_gemma":[0.9994279,0.0001016092,0.00006181339,0.0002265871,0.0001172354,0.00006481437],"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":[9.210046e-7,0.0001876714,0.0001914711,0.00004193054,0.000006925129,0.000003643608,0.0002095192,1.545231e-7,0.001414665,0.02366317,0.009174339,0.9651056],"study_design_scores_gemma":[0.001644809,0.0003152286,0.01264106,0.0004866676,0.00001025631,0.0003206039,0.0004070148,0.2665513,0.0404101,0.6514553,0.0240466,0.00171103],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01519754,0.000005592294,0.9107669,0.003181946,0.0001783722,0.000709561,0.00000184077,0.0006876652,0.06927057],"genre_scores_gemma":[0.753051,0.00004090353,0.2420599,0.001966102,0.0001175256,0.001282767,0.00005365021,0.00002252181,0.001405683],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9633946,"threshold_uncertainty_score":0.9973556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02847597501542912,"score_gpt":0.2519982296700952,"score_spread":0.2235222546546661,"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."}}