{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001128296,0.000148245,0.0001742195,0.00008541367,0.0005675801,0.0002004744,0.0006992843,0.00004902871,0.0001117411],"category_scores_gemma":[0.0001543834,0.0001243912,0.00005255773,0.0003597595,0.0002313445,0.0001261081,0.0001203505,0.0002259351,0.000005367699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005384164,"about_ca_system_score_gemma":0.00004421786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000193019,"about_ca_topic_score_gemma":0.0001333577,"domain_scores_codex":[0.9976864,0.0006338836,0.0003105732,0.0007190935,0.0002008978,0.0004490826],"domain_scores_gemma":[0.9989598,0.0001143774,0.00008761348,0.0006860616,0.00006474421,0.00008744426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002023656,0.007786623,0.4091008,0.00007186169,0.00003071486,0.0003077946,0.08648343,0.005043603,0.08376879,0.005131385,0.1174958,0.2827556],"study_design_scores_gemma":[0.00344307,0.004234919,0.8284928,0.00005476978,0.00004221822,0.0001159407,0.08472413,0.01285306,0.0004839423,0.002528806,0.06204673,0.0009795639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771966,0.0001495327,0.01673573,0.00008402656,0.002696709,0.00101866,0.000006288318,0.00006689115,0.00204553],"genre_scores_gemma":[0.9908426,0.000007359091,0.0003481034,0.0002756959,0.00003243834,0.0004963573,0.000001221463,0.00001895022,0.007977292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.419392,"threshold_uncertainty_score":0.5072525,"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."}}