{"id":"W4320484461","doi":"10.36227/techrxiv.22047080.v1","title":"ChatGPT for Visually Impaired and Blind","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Perception; Visually impaired; Interface (matter); Visual impairment; Assistive technology; Computer science; Human–computer interaction; Visual perception; Lifelong learning; 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":[0.0006500739,0.0006944494,0.0004615955,0.0006579916,0.0007778988,0.0008645284,0.0006893388,0.001159352,0.0233341],"category_scores_gemma":[0.003604618,0.0001440048,0.0004051877,0.0002330314,0.0005371709,0.001137002,0.002746087,0.0005403815,0.007738869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003352146,"about_ca_system_score_gemma":0.0007258686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002458219,"about_ca_topic_score_gemma":0.002784272,"domain_scores_codex":[0.9996463,0.0001010791,0.00002971304,0.00006816903,0.00008531773,0.00006948053],"domain_scores_gemma":[0.9989513,0.0004177316,0.00005564552,0.0001572757,0.0002008054,0.0002172278],"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":[0.003905893,0.000651278,0.01592612,0.002212338,0.00007763536,0.01085903,0.008259917,0.001303294,0.05710441,0.00874556,0.1937708,0.6971838],"study_design_scores_gemma":[0.0007289887,0.002730245,0.109239,0.002006575,0.0003124726,0.04023691,0.008366106,0.04629515,0.08315033,0.05775386,0.6487209,0.0004595158],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4698042,0.007772076,0.2487562,0.005257855,0.002124562,0.002429221,0.009981214,0.1106194,0.1432554],"genre_scores_gemma":[0.8092378,0.001946337,0.08391074,0.002436938,0.0004183922,0.001641636,0.006237541,0.002214917,0.09195567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0233341,"threshold_uncertainty_score":0.07806027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1721975730435338,"score_gpt":0.3879283106690998,"score_spread":0.2157307376255659,"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."}}