{"id":"W2145018034","doi":"10.1109/haptic.2002.998947","title":"The effects of visual information about self-movement on grasp forces when receiving objects in an augmented environment","year":2003,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"GRASP; Movement (music); Computer science; Representation (politics); Haptic technology; Object (grammar); Human–computer interaction; Computer vision; Visual feedback; Hand strength; Modalities; Artificial intelligence; Simulation; Grip strength; Acoustics; Physical therapy","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":[0.000353533,0.0004338947,0.0002399649,0.0001715449,0.0001143626,0.0004004833,0.0001544494,0.0003787294,0.0029732],"category_scores_gemma":[0.005230228,0.0002255464,0.0001926431,0.00007669851,0.0003067848,0.0004453551,0.0003269197,0.0002237088,0.0001711019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007060479,"about_ca_system_score_gemma":0.00009303479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004219259,"about_ca_topic_score_gemma":0.0003829229,"domain_scores_codex":[0.999723,0.00009888958,0.0000252413,0.00003668198,0.00008009926,0.00003603889],"domain_scores_gemma":[0.9973608,0.002049403,0.0002139023,0.0001565514,0.0001151172,0.0001042434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006618736,0.0005628919,0.007746293,0.0003311227,0.00005783053,0.000449907,0.001005164,0.001482648,0.9286324,0.0001108726,0.00008001685,0.05292211],"study_design_scores_gemma":[0.0004416975,0.02708296,0.5162451,0.0001267987,0.0005008192,0.001840031,0.001557042,0.01376266,0.4356836,0.0008092037,0.001813998,0.0001360693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981325,0.00007128937,0.001436845,0.000007748812,0.000005033014,0.000006979735,0.00001155901,0.00001872268,0.0003093994],"genre_scores_gemma":[0.9978803,0.00009567523,0.001563234,0.000009229634,0.000006189331,0.00001106553,0.00002382515,0.00001146125,0.000399146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0029732,"threshold_uncertainty_score":0.009946346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00942818646765382,"score_gpt":0.2518756353755455,"score_spread":0.2424474489078917,"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."}}