{"id":"W4391217691","doi":"10.25039/x50.2023.po107","title":"COLOUR VISION DEFICIENCIES IN THE DIGITAL TIME: A SURVEY OF USER EXPERIENCES WITH MODIFICATIONS TO AID THEIR COLOUR DISCRIMINATION","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":"","funders":"","keywords":"Software; Computer science; Work (physics); Human–computer interaction; Multimedia; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001422765,0.0001827476,0.0003634338,0.0006767146,0.0004886232,0.0007062373,0.0002412636,0.0005427656,0.001442507],"category_scores_gemma":[0.006021381,0.0002287495,0.0003519711,0.0004648252,0.000362001,0.0007390646,0.0006166009,0.0004172728,0.0002745533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003159651,"about_ca_system_score_gemma":0.0003014895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004990176,"about_ca_topic_score_gemma":0.006452506,"domain_scores_codex":[0.9991867,0.000264609,0.000102495,0.0000703214,0.0002441105,0.0001318516],"domain_scores_gemma":[0.9965102,0.001220947,0.000982875,0.0001182507,0.0006148094,0.0005529811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002648791,0.0003883891,0.8856547,0.0002643575,0.00006205306,0.001021843,0.06196088,0.0001147165,0.002349881,0.00006388092,0.0009743348,0.04688008],"study_design_scores_gemma":[0.00001994666,0.001802913,0.8836364,0.0001424819,0.00006131473,0.00372251,0.1031764,0.0005481379,0.00070989,0.00006173118,0.006057531,0.00006070902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994109,0.0001451013,0.00004512014,0.0000529313,0.000002516779,0.000007991127,0.00002856282,0.000002918786,0.0003040083],"genre_scores_gemma":[0.9987697,0.0003346341,0.0002459452,0.0001119755,0.000002720138,0.00001138678,0.00004005701,0.000002585697,0.0004809572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004990176,"threshold_uncertainty_score":0.009922266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08491167323047226,"score_gpt":0.3229375831702698,"score_spread":0.2380259099397975,"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."}}