{"id":"W7134116023","doi":"10.3169/itej.77.597","title":"11. The Past and Future of the Artificial Intelligence Art and Aesthetics Research Group","year":2023,"lang":"en","type":"article","venue":"The Journal of The Institute of Image Information and Television Engineers","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Group (periodic table); Media arts","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":[0.006529679,0.0005698767,0.000533052,0.002811409,0.003500023,0.01340819,0.001062626,0.006048107,0.03469762],"category_scores_gemma":[0.006698229,0.0002675841,0.0005123402,0.00345692,0.005214612,0.007963852,0.002643167,0.004857676,0.009392727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003566086,"about_ca_system_score_gemma":0.006907511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00832819,"about_ca_topic_score_gemma":0.01978194,"domain_scores_codex":[0.9975781,0.0009663662,0.0001498396,0.0002448894,0.0007886348,0.0002721317],"domain_scores_gemma":[0.9925758,0.002790071,0.0003873715,0.0005681953,0.002495361,0.001183257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000643211,0.00009374119,0.0008037115,0.0003410868,0.000007107964,0.00007153994,0.001339984,0.0001182249,0.0002111004,0.3528259,0.4453716,0.1987517],"study_design_scores_gemma":[0.000007618284,0.000016526,0.001255004,0.0005547557,0.00000471667,0.00006534713,0.001122277,0.0001344979,0.00009887969,0.02937424,0.9673555,0.00001066757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002404006,0.2401826,0.003354703,0.2690744,0.0339358,0.00005500458,0.0004079592,0.0001363136,0.4504491],"genre_scores_gemma":[0.05989844,0.1966508,0.009535625,0.03045332,0.03274342,0.0002033824,0.0007376005,0.0002455655,0.6695319],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03469762,"threshold_uncertainty_score":0.1160751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650908060954152,"score_gpt":0.2591679031786773,"score_spread":0.2326588225691358,"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."}}