{"id":"W2280706186","doi":"10.3109/17483107.2015.1129459","title":"The Purdue Pegboard test: normative data for older adults with low vision","year":2016,"lang":"en","type":"article","venue":"Disability and Rehabilitation Assistive Technology","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"MAB-Mackay Rehabilitation Centre; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"","keywords":"Normative; Psychology; Usability; Visual impairment; Test (biology); Physical medicine and rehabilitation; Context (archaeology); Population; Medicine; Human–computer interaction; Computer science","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":[0.001805304,0.0004938688,0.0004282646,0.003069189,0.0003529657,0.0005121981,0.0005153897,0.0006317807,0.001816029],"category_scores_gemma":[0.01068113,0.0001122188,0.000287996,0.001248028,0.0002449175,0.0006056129,0.0005592993,0.0003573523,0.0008975181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002969877,"about_ca_system_score_gemma":0.0003267696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003543163,"about_ca_topic_score_gemma":0.004575895,"domain_scores_codex":[0.9990588,0.0001303488,0.0002387228,0.0001150119,0.0004113541,0.00004584889],"domain_scores_gemma":[0.995031,0.0009310009,0.001205179,0.0002987723,0.002263641,0.0002703436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003341655,0.0002887791,0.9394612,0.0001215169,0.00007639229,0.000395835,0.0005434299,0.0003477838,0.001494434,0.000167693,0.003667394,0.05310141],"study_design_scores_gemma":[0.00002316353,0.0003415606,0.9935655,0.0000786262,0.00003539867,0.001947631,0.0003334812,0.0005059368,0.0006334562,0.000147988,0.002370492,0.00001661206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749755,0.001814167,0.006245941,0.0001348231,0.00007106835,0.0003621754,0.006662912,0.0002418086,0.009491625],"genre_scores_gemma":[0.9804229,0.0006076177,0.006748595,0.0001079419,0.00003243306,0.0007509384,0.01005439,0.00003857406,0.001236498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003543163,"threshold_uncertainty_score":0.009547472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311949322329381,"score_gpt":0.2995472707683726,"score_spread":0.2864277775450788,"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."}}