{"id":"W3165731670","doi":"10.3390/app11114852","title":"A New Computational Method for Arabic Calligraphy Style Representation and Classification","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Calligraphy; Arabic; Style (visual arts); Computer science; Artificial intelligence; Natural language processing; Representation (politics); Set (abstract data type); Pattern recognition (psychology); Linguistics; Art; Painting; Literature; Visual arts; Programming language","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":[0.0004797424,0.00007788622,0.0001010356,0.00009635938,0.0002824307,0.0003124182,0.000317646,0.0000390077,0.000006894446],"category_scores_gemma":[0.00005168245,0.00007030868,0.00003834023,0.0009549013,0.00009252114,0.0003218568,0.00006455727,0.00004557194,0.000006002789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001330944,"about_ca_system_score_gemma":0.0001995196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000896074,"about_ca_topic_score_gemma":0.000002948781,"domain_scores_codex":[0.9988425,0.00003963996,0.0001828693,0.0005081218,0.0002834773,0.000143421],"domain_scores_gemma":[0.9992077,0.0002986201,0.0001022003,0.0001887686,0.0001332068,0.00006951544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002842505,0.0000171037,0.00009092244,0.000006542089,0.000004680689,3.391928e-7,0.0002371959,0.00003023951,0.03342934,0.7811452,0.001025103,0.1840104],"study_design_scores_gemma":[0.0004148355,0.00006991845,0.01303512,0.00001001378,0.00001206165,0.00002591736,0.0003941716,0.3327268,0.1445786,0.5023611,0.006101957,0.0002695328],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004173321,0.000105635,0.9930005,0.003351396,0.00006013604,0.0002070373,0.000001811651,0.0001285938,0.002727575],"genre_scores_gemma":[0.163886,0.00001618482,0.8354589,0.0003387209,0.00003023158,0.00004920174,0.000008379123,0.000002697178,0.0002096171],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3326966,"threshold_uncertainty_score":0.3012656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05514340961661588,"score_gpt":0.3481415503591823,"score_spread":0.2929981407425664,"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."}}