{"id":"W4391100329","doi":"10.3390/engproc2023052019","title":"Smart Textile Pressure Sensor Matrices—Investigation of Sensor Characteristics for Use in the Surgical Environment","year":2024,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Pressure sensor; Textile; Sensitivity (control systems); Compression (physics); Pressure measurement; Voltage; Computer science; Materials science; Mechanical engineering; Automotive engineering; Acoustics; Process engineering; Engineering; Electronic engineering; Composite material; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001934572,0.0001248874,0.0001390391,0.00007426612,0.00001956717,0.00006569034,0.00008902601,0.00007132203,0.00004416459],"category_scores_gemma":[0.00002402234,0.00009330561,0.00005814878,0.0001179498,0.0000289697,0.0001458636,0.00001896765,0.0001206994,0.00002768524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003535487,"about_ca_system_score_gemma":0.000007152851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002041587,"about_ca_topic_score_gemma":0.00000203481,"domain_scores_codex":[0.9992307,0.00003240812,0.0002468022,0.0001523127,0.0001645555,0.0001731816],"domain_scores_gemma":[0.9992051,0.000555425,0.00001946232,0.0001720931,0.00001157212,0.00003640827],"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":[0.00009215493,0.0001256203,0.1400454,0.004589749,0.0003997625,0.0003341368,0.003633775,0.01727835,0.8173354,0.003109926,0.004640113,0.008415647],"study_design_scores_gemma":[0.001788462,0.0003720978,0.1332589,0.0008463612,0.0005011933,0.0001528931,0.001156506,0.1725485,0.4300123,0.0007539666,0.2569908,0.001617938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940288,0.0003435607,0.004023711,0.00007354374,0.0003828546,0.0005671875,0.0001236221,0.0001371051,0.0003196025],"genre_scores_gemma":[0.9960034,0.00008184324,0.003244714,0.000008153776,0.0002202033,0.00005914331,0.00002131737,0.00003242122,0.0003287935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.387323,"threshold_uncertainty_score":0.3804893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01952216569209903,"score_gpt":0.2195150812000281,"score_spread":0.1999929155079291,"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."}}