{"id":"W2761271887","doi":"10.1039/c7nr05218a","title":"Improved response time of flexible microelectromechanical sensors employing eco-friendly nanomaterials","year":2017,"lang":"en","type":"article","venue":"Nanoscale","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"University of Alberta; Alberta Innovates - Technology Futures","keywords":"Materials science; Response time; Microelectromechanical systems; Pressure sensor; Nanomaterials; Capacitance; Wearable computer; Nanotechnology; Fabrication; Computer science; Mechanical engineering; Embedded system; Electrode; Engineering; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003657669,0.0003941245,0.0002366671,0.0001543616,0.0001096251,0.0002430896,0.000308088,0.0005928642,0.0007461787],"category_scores_gemma":[0.0007086776,0.0001751043,0.0001745968,0.0001402924,0.0001558603,0.0004728959,0.0001639253,0.0006171048,0.0003117289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000293988,"about_ca_system_score_gemma":0.0001731861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003575822,"about_ca_topic_score_gemma":0.0005258872,"domain_scores_codex":[0.9997237,0.00002691561,0.00002213304,0.00009122217,0.00009939379,0.00003652332],"domain_scores_gemma":[0.9996629,0.00013317,0.00005858644,0.00003615945,0.000075885,0.00003320688],"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":[0.00005031477,0.00001271325,0.00008885274,0.00002590516,0.000002842837,0.00002800388,0.0000167076,0.00008310571,0.9968866,0.00008368734,0.00005312601,0.00266821],"study_design_scores_gemma":[0.000001973072,0.00005556413,0.0004061994,0.000001581566,0.000002811837,0.00003343423,0.000005392956,0.001445013,0.9976139,0.0000146841,0.0004144671,0.000004882236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639077,0.003108783,0.02919753,0.0003342662,0.0002037191,0.00003301282,0.0003135212,0.0004031447,0.002498259],"genre_scores_gemma":[0.978129,0.0007858931,0.01780501,0.0001728817,0.00002403596,0.00005358518,0.0002126619,0.00004636261,0.002770581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007461787,"threshold_uncertainty_score":0.002496243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143917315604271,"score_gpt":0.2427025633723683,"score_spread":0.2312633902163256,"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."}}