{"id":"W4368375876","doi":"10.36227/techrxiv.22047080.v2","title":"ChatGPT for Visually Impaired and Blind","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Conversation; Assistive technology; Perception; Interface (matter); Computer science; Human–computer interaction; Visually impaired; Natural (archaeology); Face (sociological concept); Psychology; Communication","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":[0.0007576366,0.0007924085,0.0004474267,0.0006173577,0.0007337813,0.0008246723,0.0008587198,0.001219313,0.01520062],"category_scores_gemma":[0.004361837,0.0001572964,0.0003907366,0.0002060991,0.0005254644,0.001358554,0.003218717,0.0005584605,0.005064136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003331717,"about_ca_system_score_gemma":0.0008226987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002433755,"about_ca_topic_score_gemma":0.003517087,"domain_scores_codex":[0.9996473,0.0001075602,0.00002735261,0.00007017624,0.00008014691,0.00006734432],"domain_scores_gemma":[0.9986797,0.0005655628,0.00005991228,0.0001896502,0.0002356457,0.0002695319],"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":[0.00529877,0.000713639,0.0180339,0.002047875,0.000121273,0.01407799,0.0079282,0.001788159,0.05809186,0.00465012,0.1551299,0.7321183],"study_design_scores_gemma":[0.001074954,0.004335631,0.1259648,0.002529982,0.0005779097,0.06057684,0.01201809,0.0745244,0.1262004,0.06405078,0.5275022,0.0006440086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6172492,0.007855292,0.1950883,0.004837677,0.00182339,0.001442551,0.007029241,0.09059427,0.07408017],"genre_scores_gemma":[0.864015,0.001758732,0.07457948,0.001973019,0.0003092861,0.001037805,0.00502835,0.002079644,0.04921861],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01520062,"threshold_uncertainty_score":0.05085111,"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."}}