{"id":"W2375516755","doi":"","title":"An Approach of Chinese Ink Rendering Based on Fluid Dynamics Simulation","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rendering (computer graphics); Computer science; Shader; Computer graphics (images); Inkwell; Graphics processing unit; Real-time rendering; Pixel; Software rendering; Graphics; Parallel rendering; Texture memory; Artificial intelligence; Parallel computing; 3D computer graphics; Speech recognition","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":[0.000218581,0.0001822361,0.0001737222,0.0003502723,0.000153524,0.0001518171,0.00113252,0.0001051562,0.000002893186],"category_scores_gemma":[0.000001091381,0.0001777816,0.00008430881,0.0008702062,0.00004735023,0.0002629037,0.0001509452,0.0001949778,0.000003247365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002199067,"about_ca_system_score_gemma":0.00004288558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007871834,"about_ca_topic_score_gemma":0.000006403402,"domain_scores_codex":[0.9987599,0.00003799509,0.0003384881,0.0004963905,0.0001990642,0.00016817],"domain_scores_gemma":[0.9984255,0.00008874427,0.0001525696,0.001049266,0.0001919842,0.00009195314],"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":[0.000006858674,0.00111642,0.003688266,0.00006942946,0.00001560316,4.126526e-7,0.0004226411,0.06433568,0.01444568,0.7498178,0.00005841803,0.1660227],"study_design_scores_gemma":[0.0001669665,0.00006624243,0.003313803,0.000005865696,0.000002428188,0.000002097798,0.000001429854,0.986263,0.002008751,0.005386502,0.002602648,0.000180225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01329166,0.000003992942,0.9852904,0.00006664676,0.00003424711,0.0004661214,0.000009025525,0.0004339806,0.0004038917],"genre_scores_gemma":[0.5691258,7.26643e-7,0.4305184,0.000144341,0.00005863176,0.00008030662,0.00005797598,0.0000110132,0.000002800046],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9219273,"threshold_uncertainty_score":0.7249725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009462021418249951,"score_gpt":0.293449904317216,"score_spread":0.283987882898966,"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."}}