{"id":"W4366549189","doi":"10.1145/3544549.3577047","title":"Designing Digital Content to Accommodate for Colour Vision Deficiency","year":2023,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Feature (linguistics); Human–computer interaction; Multimedia","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":[0.001067184,0.0004982399,0.0001851759,0.0008987392,0.000577957,0.003042338,0.001066815,0.00130123,0.01029468],"category_scores_gemma":[0.006471674,0.0002707496,0.0003709235,0.0003547872,0.001052212,0.003915497,0.0020047,0.0006157265,0.002804311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000620913,"about_ca_system_score_gemma":0.0006301939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004535081,"about_ca_topic_score_gemma":0.0008396863,"domain_scores_codex":[0.9994961,0.0001883519,0.00003412699,0.00005785753,0.0001657873,0.0000578944],"domain_scores_gemma":[0.9983878,0.0009143076,0.00008584301,0.0002070691,0.0002941967,0.0001108433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003440942,0.0004341734,0.004984257,0.003209836,0.00006974196,0.002649094,0.02774965,0.0103832,0.1607444,0.1555637,0.03386989,0.5999979],"study_design_scores_gemma":[0.0001505222,0.0007326608,0.006693283,0.001668022,0.0001872412,0.006450639,0.01271236,0.04303115,0.06868483,0.1116893,0.7477832,0.0002167737],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1607152,0.0015985,0.6889265,0.003292408,0.0007169637,0.0008573385,0.0002116981,0.003564563,0.1401168],"genre_scores_gemma":[0.3812907,0.001729413,0.5754383,0.00114345,0.00008328204,0.0005724996,0.0002473069,0.0005618314,0.03893317],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01029468,"threshold_uncertainty_score":0.03443915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1691547625317519,"score_gpt":0.3547985228907009,"score_spread":0.185643760358949,"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."}}