{"id":"W2350753849","doi":"10.1115/1.4033221","title":"Development of a Force Sensor Prototype for Medical Devices1","year":2016,"lang":"en","type":"article","venue":"Journal of Medical Devices","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Strain gauge; Stiffness; Piezoelectricity; Computer science; Tactile sensor; Load cell; Assistive device; Contact force; Simulation; Haptic technology; Acoustics; Engineering; Robot; Electrical engineering; Structural engineering; Artificial intelligence; Physical medicine and rehabilitation; Physics; Medicine","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":[0.001425956,0.0009695381,0.0006361291,0.0008527925,0.0004344155,0.0006076156,0.00219701,0.001900703,0.005083798],"category_scores_gemma":[0.0022859,0.000467594,0.000502195,0.0004735926,0.0004576901,0.001641798,0.0005132464,0.001007957,0.001997783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003775049,"about_ca_system_score_gemma":0.000911855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004745079,"about_ca_topic_score_gemma":0.0004008501,"domain_scores_codex":[0.9984554,0.0001221702,0.00008606171,0.0002516746,0.001012036,0.00007257677],"domain_scores_gemma":[0.9980509,0.0002968318,0.0001823343,0.000201236,0.001118971,0.0001496803],"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":[0.0001344391,0.0002889539,0.000811799,0.0005704054,0.00002417008,0.0003811086,0.0002306535,0.001271184,0.8772165,0.002124599,0.004029961,0.1129163],"study_design_scores_gemma":[0.0001371587,0.004165506,0.007254371,0.0001552902,0.00007418136,0.002848278,0.0001060896,0.02378173,0.8648961,0.0006864415,0.09575635,0.0001385516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08610965,0.002066947,0.8889435,0.001059008,0.001465108,0.003173581,0.0009866152,0.005340837,0.01085467],"genre_scores_gemma":[0.2134789,0.001094085,0.767279,0.0004014687,0.0001595851,0.001445127,0.0008210449,0.0003367734,0.01498403],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005083798,"threshold_uncertainty_score":0.01700699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029154227656704,"score_gpt":0.2829061397413499,"score_spread":0.2626145974647829,"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."}}