{"id":"W4407043454","doi":"10.5539/ass.v21n1p32","title":"Analysis of Interaction Between Designers and AI Tools in the Digital Context of Visual Design","year":2025,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pace; Creativity; Feeling; Computer science; Context (archaeology); Space (punctuation); Diversity (politics); Communication design; Human–computer interaction; Product (mathematics); Psychology; Sociology; Multimedia; Social psychology","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":[0.0006182161,0.00005908527,0.000179292,0.0003300486,0.00008664788,0.0002793355,0.0006084478,0.00002487596,7.102725e-7],"category_scores_gemma":[0.0002103773,0.00004440333,0.00005088211,0.003515282,0.0004750621,0.001327291,0.000123313,0.00006059934,8.003399e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002981744,"about_ca_system_score_gemma":0.0001256011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002253684,"about_ca_topic_score_gemma":0.00000612735,"domain_scores_codex":[0.9990896,0.00005741162,0.0002069414,0.0001964862,0.0003003226,0.0001492563],"domain_scores_gemma":[0.9993904,0.0003275099,0.00008319853,0.0001043687,0.00006549706,0.00002906478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000005733317,0.00005592501,0.01696756,0.000004112229,0.00003265063,8.181662e-7,0.00621395,0.000001504643,0.0006111233,0.03706827,0.00003344144,0.9390049],"study_design_scores_gemma":[0.0003139054,0.0003381849,0.9705883,0.00004295422,0.00009657635,6.326736e-7,0.008618935,0.004154644,0.009473888,0.005930807,0.0002573452,0.0001838598],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.53249,0.00001931715,0.3935771,0.002186314,0.0001958761,0.0003638708,0.0000101072,0.00002788238,0.07112957],"genre_scores_gemma":[0.9996313,6.370832e-7,0.000182879,0.0001586948,0.000009136155,0.000003641124,7.889956e-7,8.566845e-7,0.0000120815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9536207,"threshold_uncertainty_score":0.2693639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0417987757918458,"score_gpt":0.3564103759267969,"score_spread":0.3146116001349511,"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."}}