{"id":"W7096021006","doi":"","title":"Visual Word Recognition","year":2011,"lang":"en","type":"article","venue":"","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Windsor; Permission; Documentation; Word (group theory); Legislation; Intellectual property","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001567665,0.00007488703,0.00006946948,0.0001102944,0.0000449871,0.00005090489,0.0003269307,0.00004819524,0.00109606],"category_scores_gemma":[0.00001876726,0.00006731269,0.00003996663,0.0002315247,0.0000211079,0.00057845,0.0001023105,0.00006797042,0.001542824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001248623,"about_ca_system_score_gemma":0.00001691538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002672959,"about_ca_topic_score_gemma":0.000006407684,"domain_scores_codex":[0.9993641,0.00003418469,0.0001133266,0.0002157707,0.0001156179,0.0001569972],"domain_scores_gemma":[0.9995978,0.00001972604,0.00003534254,0.0001962836,0.00008481819,0.00006606181],"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":[0.000002077198,0.00006527852,0.0000872907,0.000002185157,0.000004048134,0.000007838969,0.0001970276,1.312741e-9,0.0004600591,0.005784235,0.00232996,0.99106],"study_design_scores_gemma":[0.0003290185,0.0003167769,0.004009121,0.0000360591,0.000006803021,0.00007067055,0.00005563616,0.001522887,0.7791414,0.2086458,0.005354925,0.0005108705],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0103276,0.000006687213,0.8168829,0.00009127399,0.00010594,0.00009543596,4.616229e-7,0.001185418,0.1713043],"genre_scores_gemma":[0.5496327,0.00001239136,0.4487562,0.000763935,0.0000342468,0.00003554544,0.000002937753,0.000006721393,0.0007553013],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9905491,"threshold_uncertainty_score":0.9998171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05146013378516957,"score_gpt":0.2685652179903645,"score_spread":0.217105084205195,"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."}}