{"id":"W3204718687","doi":"10.3389/fnhum.2021.728895","title":"The Implicit Aesthetic Preference for Mobile Marketing Interface Layout—An ERP Study","year":2021,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Color perception and design","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"National Planning Office of Philosophy and Social Science; National Office for Philosophy and Social Sciences; Zhejiang Gongshang University","keywords":"Preference; Interface (matter); Computer science; Human–computer interaction; Cognitive psychology; Business; Psychology; Marketing; Microeconomics; Parallel computing; Economics","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":[0.0002745484,0.0001486849,0.0001037793,0.0001667092,0.00007180985,0.0003007468,0.0000927509,0.0002580662,0.001398959],"category_scores_gemma":[0.002952007,0.0001020751,0.00008909486,0.0001366479,0.0002032304,0.0003318992,0.0001633205,0.0002163855,0.0001077773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006466283,"about_ca_system_score_gemma":0.00004273447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002001004,"about_ca_topic_score_gemma":0.0002621468,"domain_scores_codex":[0.999898,0.00002743597,0.000005795577,0.00002728313,0.00003158626,0.00000986843],"domain_scores_gemma":[0.9990731,0.0004958301,0.0001979219,0.00006087085,0.0001247401,0.0000475077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001617777,0.0005413342,0.08963486,0.0004731094,0.00007661879,0.0009163132,0.003054854,0.00046623,0.8348792,0.0009144433,0.0005404359,0.06688479],"study_design_scores_gemma":[0.00003978687,0.000737722,0.9844005,0.00001382786,0.0000526604,0.001033321,0.0007456991,0.002096596,0.009868574,0.0003917491,0.0006019329,0.00001761989],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975505,0.00005225452,0.001180279,0.00001961036,0.000003208756,0.00001532909,0.00002647605,0.00000727253,0.00114502],"genre_scores_gemma":[0.9983497,0.00006311318,0.001046229,0.00004181054,0.000008441069,0.0000110737,0.00003659157,0.000005310197,0.000437811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001398959,"threshold_uncertainty_score":0.004679978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07202528605431094,"score_gpt":0.3756947508093548,"score_spread":0.3036694647550439,"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."}}