{"id":"W4383616727","doi":"10.1007/978-3-031-35596-7_21","title":"Measurements of Complexity in Vehicle Dashboards: Revision and Validation of the Perceived Visual Complexity Scale","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Cronbach's alpha; Reliability (semiconductor); Confirmatory factor analysis; Computer science; Scale (ratio); Cognitive complexity; Validity; Criterion validity; Applied psychology; Psychology; Cognition; Construct validity; Cognitive psychology; Psychometrics; Machine learning; Structural equation modeling; Clinical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007665726,0.0006582512,0.0003003516,0.001857925,0.0004546933,0.001778435,0.001457384,0.0008167563,0.002036218],"category_scores_gemma":[0.0487186,0.0003702713,0.0007063851,0.001287672,0.001068314,0.001535257,0.001628823,0.001088709,0.0007633159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008343752,"about_ca_system_score_gemma":0.0006749427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004130318,"about_ca_topic_score_gemma":0.004763005,"domain_scores_codex":[0.9933868,0.002038751,0.0006306691,0.0008283446,0.002955378,0.000159957],"domain_scores_gemma":[0.9446866,0.02731127,0.003314656,0.006838289,0.01717585,0.0006733555],"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":[0.001445672,0.0007944274,0.3873342,0.0005894325,0.0003513949,0.0001683608,0.007700806,0.004365486,0.05563171,0.004301071,0.004592331,0.5327251],"study_design_scores_gemma":[0.00008448301,0.001481012,0.938426,0.0002769172,0.0002056626,0.0004955155,0.003623011,0.01337444,0.02789664,0.003328888,0.01061509,0.0001922983],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9313487,0.0006818913,0.05732806,0.0002164125,0.000293091,0.0004193078,0.0007733229,0.0002492038,0.008689954],"genre_scores_gemma":[0.9703739,0.0002535833,0.02643225,0.00009064341,0.00004485364,0.0003217114,0.0005967667,0.0001220646,0.00176421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007665726,"threshold_uncertainty_score":0.0405407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1594027849411087,"score_gpt":0.3623975202881747,"score_spread":0.202994735347066,"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."}}