{"id":"W4312776326","doi":"10.2139/ssrn.4253967","title":"Product Aesthetic Design: A Machine Learning Augmentation","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Product design; Product (mathematics); Aesthetics; Computer science; Artificial intelligence; Mathematics; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.001596796,0.00009418378,0.00008968842,0.000113476,0.0004942515,0.0001441312,0.000546724,0.000008106557,0.00003135215],"category_scores_gemma":[0.00003200282,0.00008646394,0.00005396033,0.0003204936,0.00001380046,0.0004598479,0.0001590451,0.001296053,0.00004667362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00053339,"about_ca_system_score_gemma":0.001022374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001008742,"about_ca_topic_score_gemma":0.000007856446,"domain_scores_codex":[0.9978989,0.0002332301,0.0001648691,0.0002049193,0.0003960776,0.001101955],"domain_scores_gemma":[0.9996463,0.00002416765,0.0001071789,0.0001290159,0.00003002248,0.00006328763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004596736,0.0001970901,0.0006855071,0.000002254271,0.00003694647,0.00002495898,0.001076169,0.004189314,0.0008278607,0.1997953,0.0001324824,0.7929862],"study_design_scores_gemma":[0.002561199,0.008979338,0.0002673046,0.00001831064,0.00003722902,0.01558134,0.001750939,0.09985527,0.001718952,0.8111225,0.05725354,0.0008541072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.090644,0.003191827,0.8993421,0.00463495,0.0007932261,0.0002802976,5.090131e-7,0.0001369262,0.0009762053],"genre_scores_gemma":[0.9963749,0.0001829514,0.001038586,0.0001133286,0.00006679485,0.00001993769,0.000002236395,0.00001087178,0.002190389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9057309,"threshold_uncertainty_score":0.5630776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603225878929311,"score_gpt":0.2508420658368389,"score_spread":0.2348098070475458,"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."}}