{"id":"W4406203433","doi":"10.61091/jcmcc123-39","title":"A Computer Vision-Based Multidimensional Data Modelling Study of the Psychological Responses of Metro Car Colour Lighting Design on Passengers","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer vision; Human–computer interaction; Transport engineering; Psychology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008484902,0.0003485991,0.0002610355,0.0004263103,0.0002378209,0.0007122841,0.0002310229,0.00029215,0.0007100073],"category_scores_gemma":[0.004168461,0.0001274614,0.0005598315,0.0005351964,0.0002875797,0.0005470283,0.0003448106,0.0005174426,0.0001216887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005376376,"about_ca_system_score_gemma":0.0002826279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004823664,"about_ca_topic_score_gemma":0.003968421,"domain_scores_codex":[0.9996462,0.0001640407,0.00001483228,0.00007866706,0.00006175414,0.00003458858],"domain_scores_gemma":[0.9983976,0.001032251,0.0001648665,0.0001641669,0.0001830491,0.00005803254],"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":[0.002234645,0.002860588,0.3035731,0.0004790919,0.0004680154,0.0005040477,0.008417143,0.2003998,0.113018,0.008446734,0.002114105,0.3574848],"study_design_scores_gemma":[0.00001461129,0.0006673547,0.1224932,0.00001565517,0.00006402266,0.0001437326,0.001591659,0.8653151,0.006777167,0.002009881,0.0008571893,0.00005033522],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566858,0.00004129486,0.04240536,0.00008833116,0.000007123502,0.00003548941,0.0001110238,0.00004522305,0.0005803873],"genre_scores_gemma":[0.9880034,0.00003882982,0.01155317,0.00001411492,0.00000336945,0.0000275248,0.0001105657,0.00000430321,0.0002446313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004823664,"threshold_uncertainty_score":0.009591162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09701650613294986,"score_gpt":0.37098615440378,"score_spread":0.2739696482708301,"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."}}