{"id":"W4409787626","doi":"10.61091/jcmcc127a-332","title":"Stroke Structure Reconstruction and Virtual Display System Design for Calligraphic Seal Engraving Using Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engraving; Seal (emblem); Computer graphics (images); Artificial intelligence; Computer science; Computer vision; Engineering drawing; Engineering; Art; Visual arts","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001081272,0.0002431118,0.0006547482,0.0003080659,0.0002882725,0.0002401081,0.0001767149,0.0001687647,9.975902e-7],"category_scores_gemma":[0.000321808,0.0002202765,0.0001340995,0.0002927427,0.00009372798,0.0001385398,0.00005797814,0.0004215069,8.539013e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009924168,"about_ca_system_score_gemma":0.00007579824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000413674,"about_ca_topic_score_gemma":3.375281e-7,"domain_scores_codex":[0.998211,0.00007887282,0.0009695792,0.000171756,0.0003033208,0.0002654386],"domain_scores_gemma":[0.9983373,0.0007728533,0.0003447375,0.0001208007,0.0002777606,0.0001465691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005761184,0.00007741169,0.0001350847,0.0009207366,0.0004372725,0.000009946592,0.0004938196,0.01078482,0.011794,0.9523376,0.00002488403,0.0229268],"study_design_scores_gemma":[0.0006867877,0.0001525456,0.0000092092,0.001005505,0.0003374529,0.0001000103,0.001035135,0.7846953,0.00498553,0.2067623,0.00001460413,0.0002155822],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5389715,0.0002502639,0.4528475,0.00001799667,0.00771222,0.0001405164,0.0000039633,0.0000370013,0.00001909941],"genre_scores_gemma":[0.9783715,0.00002664744,0.02076718,0.000004058465,0.00080522,0.000001156779,7.709255e-7,0.00002227511,0.000001206697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7739105,"threshold_uncertainty_score":0.8982615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628561846599852,"score_gpt":0.253655475039171,"score_spread":0.2373698565731725,"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."}}