{"id":"W4229905162","doi":"10.26522/ti.v2i1.729","title":"Braille Vision","year":2013,"lang":"en","type":"article","venue":"ti<","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Braille; Computer science; Artificial intelligence; Optometry; Computer vision; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002233561,0.0006653883,0.000374854,0.0006541802,0.0006563597,0.002542492,0.001083012,0.001127572,0.1272351],"category_scores_gemma":[0.001134894,0.0003115406,0.0003491143,0.0003780884,0.0004025667,0.002129731,0.00152286,0.001097652,0.03317476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004666627,"about_ca_system_score_gemma":0.0004944269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002371824,"about_ca_topic_score_gemma":0.002664729,"domain_scores_codex":[0.9996012,0.00002407431,0.00001265883,0.00008808661,0.0002128893,0.00006104857],"domain_scores_gemma":[0.9996526,0.00005976705,0.00001500592,0.00007654769,0.0001441575,0.00005184328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006524503,0.00008612134,0.00044249,0.0004134033,0.00002532967,0.0003768854,0.0002797475,0.0006341868,0.2983969,0.02693228,0.09054632,0.5812139],"study_design_scores_gemma":[0.0001799373,0.0003750926,0.007514942,0.0003098189,0.00006303604,0.004681766,0.0004746908,0.01664286,0.1974737,0.0285259,0.7435152,0.0002429764],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02391189,0.002435589,0.1728518,0.001207837,0.001379977,0.0002516063,0.002006368,0.01909277,0.7768621],"genre_scores_gemma":[0.4466173,0.001923261,0.09045684,0.003437249,0.000349781,0.000340051,0.005083384,0.003902444,0.4478897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1272351,"threshold_uncertainty_score":0.4256437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03204764217049526,"score_gpt":0.2976796627426691,"score_spread":0.2656320205721738,"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."}}