{"id":"W4404915281","doi":"10.1109/ismar-adjunct64951.2024.00203","title":"Colour Perception on Optical-See-Through Displays for Ubiquitous Visualization Applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Visualization; Perception; Human–computer interaction; Data visualization; Computer graphics (images); Computer vision; Multimedia; Artificial intelligence; 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":[0.0008058106,0.0004534551,0.0002558205,0.0002173856,0.0002929946,0.001728693,0.0005179686,0.0005427876,0.004177139],"category_scores_gemma":[0.00672225,0.0003293894,0.0004349351,0.0002200595,0.0004441741,0.001625754,0.00107129,0.0007645342,0.0004956052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004673307,"about_ca_system_score_gemma":0.0002146975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009188185,"about_ca_topic_score_gemma":0.0009927682,"domain_scores_codex":[0.9994783,0.0002072067,0.00001953276,0.00008273117,0.0001628928,0.00004937735],"domain_scores_gemma":[0.9976301,0.001425348,0.0002051311,0.0002781709,0.0003630625,0.00009811333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009868243,0.0001358289,0.00310168,0.0006743105,0.00005677054,0.0001944789,0.001899525,0.01838258,0.8512927,0.01260409,0.001783964,0.1088873],"study_design_scores_gemma":[0.00018423,0.002274137,0.05143426,0.0004794982,0.0004182469,0.001608977,0.001588688,0.3846624,0.4980012,0.02633473,0.03267812,0.0003354845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4544982,0.00107428,0.5343525,0.0006033874,0.0001897934,0.0001408459,0.0001523272,0.001100312,0.00788838],"genre_scores_gemma":[0.9186222,0.0006294206,0.07824951,0.0002141477,0.00004391661,0.00005282421,0.00005316698,0.0001765291,0.001958237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004177139,"threshold_uncertainty_score":0.01397395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164915028618879,"score_gpt":0.3131596185632866,"score_spread":0.2966681157013987,"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."}}