{"id":"W2130527097","doi":"10.1016/j.medengphy.2003.09.004","title":"A structural fingertip model for simulating of the biomechanics of tactile sensation","year":2003,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Hyperelastic material; Biomechanics; Viscoelasticity; Biomedical engineering; Tactile sensor; Deflection (physics); Soft tissue; Materials science; Computer science; Anatomy; Finite element method; Structural engineering; Engineering; Composite material; Physics; Artificial intelligence; Medicine; Optics; Surgery","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":[0.0001207294,0.0004891467,0.0004589214,0.0003343981,0.0002479628,0.0005618308,0.001207659,0.00142805,0.004065967],"category_scores_gemma":[0.0004081546,0.0003166442,0.0007099257,0.0004212412,0.0003020637,0.0005741176,0.0004841933,0.0005158234,0.000779668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003250036,"about_ca_system_score_gemma":0.0006823666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003796558,"about_ca_topic_score_gemma":0.002348982,"domain_scores_codex":[0.9999048,0.00001735189,0.000006033199,0.00002327704,0.00003650235,0.00001207485],"domain_scores_gemma":[0.9998748,0.00004030323,0.00001678732,0.00001979035,0.0000367698,0.00001156638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003793765,0.00003327712,0.000358573,0.00006770287,0.0000151116,0.0002487325,0.00004630529,0.9715422,0.01722747,0.003215659,0.0002887935,0.006918264],"study_design_scores_gemma":[0.000005922097,0.00002519345,0.0001734405,0.000004183008,0.000005455062,0.00004188303,0.000006656882,0.9979095,0.0007324569,0.000405463,0.0006847965,0.000005076542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09357353,0.0004740044,0.8849317,0.000194577,0.00009312449,0.0001394001,0.0006995323,0.0007455553,0.01914849],"genre_scores_gemma":[0.9061964,0.0006371498,0.07484934,0.0000894616,0.00002528535,0.0003662402,0.0004183485,0.00008600608,0.01733179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004065967,"threshold_uncertainty_score":0.01360202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0391124563399364,"score_gpt":0.271462744162308,"score_spread":0.2323502878223716,"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."}}