{"id":"W6939130192","doi":"10.60692/rj43s-hn605","title":"A New Computational Method for Arabic Calligraphy Style Representation and Classification","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Calligraphy; Style (visual arts); Arabic; Representation (politics); Set (abstract data type); Feature (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":[0.0003772998,0.0001272104,0.0001756075,0.0002727795,0.0001459914,0.0005114844,0.0001783707,0.00008973751,0.000006716823],"category_scores_gemma":[0.00004576875,0.000124685,0.00007899088,0.0004616512,0.00001197917,0.001479226,0.00006427706,0.00005995236,0.00006835318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005419283,"about_ca_system_score_gemma":0.0001045641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006196524,"about_ca_topic_score_gemma":3.026319e-7,"domain_scores_codex":[0.9986904,0.0001104866,0.0005086809,0.000265402,0.0002704049,0.0001546877],"domain_scores_gemma":[0.9986956,0.00005178991,0.0002776616,0.0003186456,0.0005505605,0.0001057159],"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":[0.000126995,0.00002402845,0.03128378,0.00160254,0.0003332989,0.0000149203,0.1563966,0.0008961859,0.0003115083,0.26637,0.01173729,0.5309029],"study_design_scores_gemma":[0.002659637,0.0001130982,0.07975193,0.0002238126,0.00005352136,0.0004447266,0.00605524,0.8919457,0.0129278,0.0027976,0.00241022,0.0006167343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003276991,0.000005754016,0.9943065,0.0004095866,0.0001555121,0.0004489901,0.00003511249,0.0004362526,0.0009253241],"genre_scores_gemma":[0.4778349,2.438387e-7,0.5216458,0.0002145192,0.00003476509,0.0001147929,0.00006346426,0.000004623156,0.00008684384],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8910495,"threshold_uncertainty_score":0.5084508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05487492215301315,"score_gpt":0.2854315584098109,"score_spread":0.2305566362567977,"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."}}