{"id":"W4379656136","doi":"10.54254/2753-7048/5/2022892","title":"Social Media Images' Visual Complexity Affects Consumers' Perceptions of Brands","year":2023,"lang":"en","type":"article","venue":"Lecture Notes in Education Psychology and Public Media","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Popularity; Perception; Social media; Variety (cybernetics); Computer science; Order (exchange); Visual media; Object (grammar); Visual perception; Advertising; Psychology; Artificial intelligence; Business; Multimedia; World Wide Web; Social psychology","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":[0.0003592377,0.0001386252,0.0002343533,0.000472356,0.0001034414,0.00006499043,0.0003455436,0.0001789369,0.0001053006],"category_scores_gemma":[0.001181765,0.0001293232,0.00004623026,0.001172489,0.0004709506,0.0003263652,0.00008567316,0.0002458401,0.00005533115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001400122,"about_ca_system_score_gemma":0.0002000956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009375045,"about_ca_topic_score_gemma":0.0001314411,"domain_scores_codex":[0.9987299,0.0001759682,0.0002286983,0.0003631013,0.0001876671,0.0003147043],"domain_scores_gemma":[0.9982076,0.001260021,0.00008798557,0.0002075755,0.00009105853,0.0001457272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000023865,0.0007729321,0.09881341,0.0000603027,0.00002795225,0.000004175354,0.02144949,8.056252e-7,0.001598599,0.02989135,0.01157597,0.8357812],"study_design_scores_gemma":[0.0007607567,0.00008607322,0.9059149,0.00002254241,0.00000808223,0.00002555389,0.000330367,0.0002253431,0.0002879198,0.08970977,0.002389801,0.00023889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499409,0.0002682552,0.02347613,0.01996544,0.003968021,0.000198042,0.00001492193,0.0001632837,0.002004967],"genre_scores_gemma":[0.9970664,0.00008801941,0.001190718,0.001239509,0.0002393168,0.00003705804,0.0001239853,0.000007739841,0.000007199292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8355423,"threshold_uncertainty_score":0.5273648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04427503122759757,"score_gpt":0.3830948173992711,"score_spread":0.3388197861716735,"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."}}