{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004707582,0.0005004338,0.0005276047,0.0002279491,0.0007153571,0.006778485,0.0006970097,0.0002032693,0.0001782617],"category_scores_gemma":[0.00138755,0.0004454248,0.0001433108,0.0009138176,0.0004588229,0.005396801,0.001086856,0.0004106418,0.00004846298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006676201,"about_ca_system_score_gemma":0.0003795028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007803672,"about_ca_topic_score_gemma":0.0001247591,"domain_scores_codex":[0.9967517,0.0002977225,0.0004694488,0.001347014,0.0004583122,0.000675782],"domain_scores_gemma":[0.9971184,0.0009011457,0.0005294037,0.0007115474,0.0004752839,0.0002641987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009419532,0.000299269,0.002149388,0.00009999637,0.0007980035,0.0001070609,0.009118131,0.0003976132,0.003426402,0.03826308,0.3132769,0.63197],"study_design_scores_gemma":[0.0009201354,0.0001958686,0.001871719,0.0002999053,0.0001427282,0.00002005539,0.0007595227,0.8630544,0.03194733,0.008634983,0.09121979,0.0009335332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001455482,0.005634944,0.8443032,0.1326308,0.00165157,0.0003614392,0.00003834579,0.00007096842,0.01385329],"genre_scores_gemma":[0.9423125,0.0007653454,0.02896542,0.01409062,0.0007231504,0.00001605698,0.000006477165,0.00001862501,0.01310177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9408571,"threshold_uncertainty_score":0.9997997,"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."}}