{"id":"W4385884157","doi":"10.2139/ssrn.4542135","title":"Designing a Wheel-Based Assessment Tool to Measure Visual Aesthetic Emotions","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Creativity in Education and Neuroscience","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Measure (data warehouse); Aesthetics; Human–computer interaction; Psychology; Computer science; Cognitive psychology; Computer vision; Art; Data mining","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":[0.002440563,0.0007883289,0.0005275016,0.001806063,0.0003272004,0.001557019,0.001017895,0.00112209,0.008945866],"category_scores_gemma":[0.007193127,0.0004698954,0.000690176,0.0007323665,0.000332885,0.001309056,0.001430025,0.0005027055,0.004108222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004244586,"about_ca_system_score_gemma":0.0009211628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693773,"about_ca_topic_score_gemma":0.002651062,"domain_scores_codex":[0.9986743,0.0004403601,0.0001065258,0.0001710291,0.0004839058,0.0001238602],"domain_scores_gemma":[0.9961767,0.0015421,0.0002065829,0.0002132969,0.001637581,0.0002236409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001701078,0.001236938,0.0539598,0.001555079,0.0001501299,0.0002627066,0.002058937,0.004965636,0.2116791,0.006303275,0.01857401,0.6975533],"study_design_scores_gemma":[0.0008469326,0.004913586,0.3040391,0.001129159,0.0006914104,0.002170338,0.005061765,0.2751695,0.27478,0.01767912,0.1125229,0.000996254],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1582224,0.0001595854,0.8229113,0.0002405354,0.0002676078,0.003046439,0.001653348,0.005160728,0.008338033],"genre_scores_gemma":[0.3654431,0.0001911515,0.6172221,0.0002346189,0.00004646656,0.004497035,0.001639375,0.0005659782,0.01015999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008945866,"threshold_uncertainty_score":0.02992684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05522804385519414,"score_gpt":0.3997704758252119,"score_spread":0.3445424319700178,"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."}}