{"id":"W4294811494","doi":"10.1109/cec55065.2022.9870271","title":"Mixed Media in Evolutionary Art","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Congress on Evolutionary Computation (CEC)","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Computer science; Computer graphics (images); Bitmap; Variety (cybernetics); Stylized fact; Digital art; Genetic programming; Pixel; Image (mathematics); Object (grammar); Computer vision; Artificial intelligence; Simple (philosophy); Media arts; Digital media; Art; Visual arts; World Wide Web","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"],"consensus_categories":[],"category_scores_codex":[0.0005678854,0.0003686156,0.0003549487,0.0008601235,0.001166605,0.00007812461,0.001374999,0.000102036,0.0004652052],"category_scores_gemma":[0.00006961187,0.0004487303,0.0001650379,0.002565163,0.0001703525,0.0007630613,0.0005914567,0.0007467003,0.0005070251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009657175,"about_ca_system_score_gemma":0.0004720696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003536395,"about_ca_topic_score_gemma":0.00002195121,"domain_scores_codex":[0.9955373,0.0005688734,0.0007839483,0.001113678,0.001383236,0.0006129174],"domain_scores_gemma":[0.9978164,0.0006782915,0.0003166144,0.0007412652,0.0002315617,0.0002158821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006456763,0.001310748,0.001217231,0.00001471268,0.00004137796,0.0001139106,0.0003330373,0.4226462,0.0002544331,0.1465976,0.4202841,0.00712205],"study_design_scores_gemma":[0.001475917,0.000253467,0.06207018,0.00002576973,0.0000107262,0.0001850028,0.0002656303,0.822736,0.00004006132,0.0317847,0.08048709,0.0006654496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1443628,0.004879518,0.7410572,0.03822721,0.03968345,0.004997042,0.001662088,0.003630647,0.0215001],"genre_scores_gemma":[0.9599504,0.00006989067,0.03276422,0.001121797,0.000403529,0.001276,0.001019622,0.00005903856,0.003335528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8155876,"threshold_uncertainty_score":0.9997965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02323108589386139,"score_gpt":0.250654001202075,"score_spread":0.2274229153082137,"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."}}