{"id":"W4401012367","doi":"10.1101/2024.07.26.605248","title":"Guided by touch: Tactile Cues in Hand Movement Control","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre for Interdisciplinary Research in Rehabilitation; Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean","funders":"Agence Nationale de la Recherche","keywords":"Somatosensory system; Psychology; Sensory system; Index finger; Context (archaeology); Movement (music); Sensory cue; Movement control; Cognitive psychology; Communication; Neuroscience; Computer vision; Physical medicine and rehabilitation; Computer science; Medicine; Biology; Anatomy","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":[0.0002195649,0.0002303472,0.000151485,0.0002542376,0.0001384635,0.000725464,0.0001705479,0.0003206649,0.001554175],"category_scores_gemma":[0.001565614,0.0001290535,0.00008888203,0.000118445,0.0004269502,0.0004973787,0.0005310099,0.0002837099,0.0001096444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001242384,"about_ca_system_score_gemma":0.0001385617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003566052,"about_ca_topic_score_gemma":0.0003703476,"domain_scores_codex":[0.9998431,0.00003065742,0.00001015121,0.00003833387,0.00005064585,0.00002711205],"domain_scores_gemma":[0.9996485,0.0001710581,0.00007434928,0.00002961268,0.00003451024,0.00004192818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004491561,0.00005199578,0.007244952,0.0001696596,0.00001705355,0.000473468,0.0003438724,0.000906963,0.9414924,0.001559727,0.0001167975,0.04717399],"study_design_scores_gemma":[0.00007721537,0.001749387,0.5731444,0.000179965,0.00008220364,0.002201998,0.0008705025,0.02281167,0.3807077,0.0148419,0.003210549,0.0001224283],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823506,0.001041203,0.01279411,0.0001006259,0.00002711512,0.00001648616,0.00008324182,0.00008496184,0.003501599],"genre_scores_gemma":[0.9979429,0.00008201004,0.00158366,0.00001958364,0.000005501109,0.000005870293,0.0000134191,0.000006631063,0.0003405244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001554175,"threshold_uncertainty_score":0.005199194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479592868813607,"score_gpt":0.2577217068521345,"score_spread":0.2329257781639984,"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."}}