{"id":"W2155830123","doi":"","title":"Advantages and Thinking on Design of Chinese Characters’ Graphics","year":2015,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chinese characters; Pronunciation; Character (mathematics); Graphics; Chinese culture; Meaning (existential); Composition (language); Perception; Computer science; Kanji; Design thinking; Linguistics; China; Psychology; Human–computer interaction; History; Artificial intelligence; Computer graphics (images); Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001798425,0.0008837155,0.0001823353,0.001069915,0.00161844,0.0037832,0.0007071104,0.0008154243,0.006442307],"category_scores_gemma":[0.003134039,0.0003428008,0.000537584,0.0007369768,0.004799294,0.003561949,0.001554435,0.001072057,0.0007230089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647892,"about_ca_system_score_gemma":0.001734217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002479393,"about_ca_topic_score_gemma":0.002266225,"domain_scores_codex":[0.9980257,0.001146217,0.0000777054,0.0001674208,0.0004594171,0.0001237086],"domain_scores_gemma":[0.9990434,0.0003642706,0.00006796471,0.0001613949,0.0002556258,0.0001072913],"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":[0.0000755126,0.00002716031,0.00169962,0.0004985739,0.0000196034,0.0004345857,0.02981623,0.00251857,0.006540156,0.8465728,0.003860962,0.1079364],"study_design_scores_gemma":[0.00009531681,0.0003531337,0.003459275,0.0007118703,0.0001310846,0.001346687,0.01697811,0.01607638,0.01293198,0.2372638,0.7105442,0.0001082293],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09199009,0.004516579,0.3559437,0.006641319,0.0006998657,0.0002562268,0.00007027152,0.0007254205,0.5391565],"genre_scores_gemma":[0.7790553,0.00271263,0.1694095,0.0005953134,0.0001483133,0.0003070569,0.00005427872,0.000176396,0.04754122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006442307,"threshold_uncertainty_score":0.02155167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03424111381483416,"score_gpt":0.3402702392596439,"score_spread":0.3060291254448098,"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."}}