{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001207488,0.0001240537,0.0003716586,0.00007963946,0.00003045459,0.000009889189,0.0003376909,0.0001717178,0.0003402329],"category_scores_gemma":[0.001236143,0.00007029704,0.00007901946,0.00006991976,0.00005616149,0.0001381864,0.0000282087,0.0001065007,0.00000674105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003444736,"about_ca_system_score_gemma":0.0002000324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.287637e-7,"about_ca_topic_score_gemma":0.00002106418,"domain_scores_codex":[0.9977412,0.00002770113,0.0008945217,0.00008242789,0.001031743,0.0002223843],"domain_scores_gemma":[0.9988076,0.0004085527,0.0002255673,0.00007723103,0.0001567357,0.0003242786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000705213,0.0002522496,0.001195993,0.004032581,0.0008476601,0.0002305867,0.00132788,0.0007207379,0.1943225,0.002320384,0.001755081,0.7922891],"study_design_scores_gemma":[0.008337326,0.0007660085,0.003095367,0.01147826,0.0001494988,0.0008204792,0.0004598422,0.003923849,0.4502021,0.001864444,0.517968,0.0009348069],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8708048,0.0004500156,0.1259788,0.001119764,0.0009746408,0.0001969791,0.000005481077,0.00006312034,0.000406398],"genre_scores_gemma":[0.9485963,0.0002013285,0.0501793,0.0001478221,0.0007093052,0.00001997547,0.000001216747,0.00003753124,0.0001072306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7913544,"threshold_uncertainty_score":0.3725312,"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."}}