{"id":"W4416736648","doi":"10.1145/3757371.3763259","title":"CGAI: How generative AI is reshaping digital media and artists practices","year":2025,"lang":"","type":"article","venue":"","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Digital media; Natural (archaeology); Style (visual arts); Generative grammar; Visual language; Digital photography; Natural language; Visual media; Mimicry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002224249,0.0005500333,0.0002408169,0.001043111,0.001338791,0.005761113,0.001931281,0.00193394,0.01830663],"category_scores_gemma":[0.007823995,0.0003765564,0.0005675815,0.0006119687,0.005194072,0.006035899,0.005894237,0.002163983,0.004453246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001278,"about_ca_system_score_gemma":0.001036428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003100706,"about_ca_topic_score_gemma":0.00336611,"domain_scores_codex":[0.998593,0.0005373451,0.00003525933,0.0002150406,0.0004951081,0.0001242469],"domain_scores_gemma":[0.9976984,0.001061065,0.00008729608,0.000751666,0.0001931187,0.0002084546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007707712,0.00007610878,0.0008101441,0.0001718218,0.00003528723,0.0002647302,0.005313176,0.0314027,0.006745387,0.78485,0.02454382,0.1457098],"study_design_scores_gemma":[0.00004540498,0.00004342575,0.0004675084,0.0001652248,0.000025875,0.0004628283,0.001499383,0.1255103,0.007522668,0.5900325,0.2741584,0.00006646393],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01823578,0.001270206,0.7354447,0.00925346,0.000984465,0.0001574113,0.0002008724,0.007270605,0.2271825],"genre_scores_gemma":[0.5923249,0.001830314,0.305764,0.00279007,0.0003757427,0.0002909897,0.0005413918,0.003868133,0.09221441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01830663,"threshold_uncertainty_score":0.06124181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02867228207002195,"score_gpt":0.281748968248567,"score_spread":0.2530766861785451,"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."}}