{"id":"W2138594271","doi":"10.1518/0018720024497646","title":"Using Tactile Features to Help Functionally Blind Individuals Denominate Banknotes","year":2002,"lang":"en","type":"article","venue":"Human Factors The Journal of the Human Factors and Ergonomics Society","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Banknote; Feature (linguistics); Texture (cosmology); Set (abstract data type); Computer science; Fell; Camouflage; Engineering; Human–computer interaction; Artificial intelligence; Cartography; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007382674,0.0004946518,0.0002897603,0.0003144691,0.0003678525,0.0005391082,0.000370092,0.0004316568,0.005048424],"category_scores_gemma":[0.006280402,0.000121539,0.000163852,0.0001299602,0.0004857356,0.0005532525,0.0006160538,0.0002807233,0.0006334665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003907011,"about_ca_system_score_gemma":0.0006329194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006422014,"about_ca_topic_score_gemma":0.01756426,"domain_scores_codex":[0.9996426,0.0000875206,0.00002400123,0.00005732203,0.0001216767,0.0000669341],"domain_scores_gemma":[0.9981182,0.001042615,0.0002145321,0.0001843561,0.0002439709,0.0001964229],"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":[0.008702206,0.002447187,0.06252596,0.0007232048,0.00005896816,0.001728258,0.00679587,0.001209723,0.3888912,0.00104856,0.004952725,0.5209162],"study_design_scores_gemma":[0.001501099,0.03541918,0.6044655,0.00058151,0.0003948412,0.006858586,0.01866216,0.01141728,0.2634879,0.002904594,0.05383451,0.0004727929],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952825,0.00009996533,0.00230637,0.00006292355,0.00002290108,0.0000813802,0.00003933905,0.00006004189,0.002044691],"genre_scores_gemma":[0.9888111,0.0001232801,0.008107444,0.00007548888,0.000008442392,0.00004234873,0.00004829339,0.000009330824,0.002774153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006422014,"threshold_uncertainty_score":0.01688868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1091481604195703,"score_gpt":0.3018161193321262,"score_spread":0.1926679589125559,"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."}}