{"id":"W2234967686","doi":"10.3390/s16010069","title":"Lead-Free Piezoelectric Diaphragm Biosensors Based on Micro-Machining Technology and Chemical Solution Deposition","year":2016,"lang":"en","type":"article","venue":"Sensors","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Piezoelectricity; Diaphragm (acoustics); Biosensor; Materials science; Fabrication; Deposition (geology); Machining; Nanotechnology; Layer (electronics); Optoelectronics; Silicon; Composite material; Electrical engineering; Metallurgy; Engineering","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":[0.000342487,0.0006348142,0.0005810914,0.0003714586,0.0002298043,0.0004288426,0.001335465,0.0009405037,0.0007527181],"category_scores_gemma":[0.0004643098,0.0005866119,0.0004344957,0.0002798452,0.0004441699,0.0008015472,0.0006094116,0.0007040909,0.0006063686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002842755,"about_ca_system_score_gemma":0.0003526642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002333518,"about_ca_topic_score_gemma":0.0005711362,"domain_scores_codex":[0.9993985,0.00004700391,0.00003749946,0.0001269588,0.000356622,0.00003348922],"domain_scores_gemma":[0.9997764,0.00007547261,0.00005050602,0.00002725412,0.00005104692,0.00001931468],"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":[0.00001332686,0.0000129873,0.0001127206,0.0001694126,0.000007636268,0.00004258494,0.00001496944,0.0000729318,0.9924365,0.0003502471,0.00006612936,0.006700479],"study_design_scores_gemma":[0.00001180514,0.0001123311,0.0007656938,0.00000844056,0.00001580611,0.000402889,0.000010771,0.002050693,0.9930139,0.0001251137,0.003465307,0.00001717996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.382,0.02460711,0.5822316,0.0009885356,0.001116342,0.00043212,0.0004032121,0.001625735,0.00659532],"genre_scores_gemma":[0.4025473,0.007292634,0.5823016,0.0004219686,0.0001254428,0.0002895714,0.0003749697,0.00006028185,0.006586207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001335465,"threshold_uncertainty_score":0.002518117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004030464517411722,"score_gpt":0.1816683488809288,"score_spread":0.1776378843635171,"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."}}