{"id":"W4390486156","doi":"10.23977/jaip.2023.060809","title":"The Transformation of Photography by Artificial Intelligence Generative AI Technology","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generative grammar; Photography; Transformation (genetics); Computer science; Artificial intelligence; Generative Design; Computer technology; Expression (computer science); Visual arts; Multimedia; Art; Engineering","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":[0.001178811,0.000390783,0.0002142292,0.001460038,0.001382447,0.005632813,0.0005730838,0.0009461814,0.006845746],"category_scores_gemma":[0.002603856,0.0002814925,0.0004771988,0.0005711053,0.01003759,0.004731388,0.002616561,0.001740071,0.0009219364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001863579,"about_ca_system_score_gemma":0.0008626254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001854355,"about_ca_topic_score_gemma":0.002164864,"domain_scores_codex":[0.9991553,0.0003803853,0.00002838736,0.00009925441,0.0002809379,0.00005570631],"domain_scores_gemma":[0.9989743,0.0005535038,0.00006148675,0.0002480193,0.0001166792,0.00004603972],"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":[0.00002161216,0.00002040275,0.0003530472,0.0001245271,0.000007462833,0.0002707361,0.005705611,0.0009106734,0.002583612,0.9375058,0.00479565,0.04770081],"study_design_scores_gemma":[0.00003052796,0.00007792243,0.00184499,0.0004453818,0.00002236931,0.001391963,0.004943283,0.006887489,0.004120703,0.508659,0.4715265,0.00004987178],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03661543,0.009029349,0.1736115,0.01496925,0.001364048,0.0001525894,0.0001037255,0.0005208904,0.7636333],"genre_scores_gemma":[0.7465822,0.01003992,0.1463365,0.002625763,0.001062341,0.0001612056,0.00008608527,0.0003303128,0.09277581],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.006845746,"threshold_uncertainty_score":0.0229013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05027242621003028,"score_gpt":0.3606889180681049,"score_spread":0.3104164918580746,"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."}}