{"id":"W2981890621","doi":"10.1149/2.f06193if","title":"MEMS and Microfluidic Devices for Chemical and Biosensing","year":2019,"lang":"en","type":"article","venue":"The Electrochemical Society Interface","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microfluidics; Miniaturization; Microelectromechanical systems; Nanotechnology; Wearable computer; Biosensor; Chemical sensor; Wearable technology; Computer science; Process engineering; Engineering; Materials science; Embedded system; Chemistry; Electrode","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001306881,0.001527743,0.001277642,0.001859263,0.00100863,0.002015586,0.001422532,0.002399609,0.01463688],"category_scores_gemma":[0.001129241,0.0007381172,0.0007866035,0.001421136,0.001717413,0.002334043,0.002020849,0.002521514,0.00945903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009937879,"about_ca_system_score_gemma":0.0008238974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004918564,"about_ca_topic_score_gemma":0.0005521044,"domain_scores_codex":[0.9979036,0.0002304665,0.0001093626,0.0003245911,0.001297628,0.0001344554],"domain_scores_gemma":[0.9996336,0.00009242893,0.00004982032,0.00004818345,0.000137098,0.00003896489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001619569,0.0001440484,0.0004457431,0.00363878,0.0001292868,0.0006405406,0.0003908355,0.001472036,0.1807729,0.2712333,0.1223365,0.4186339],"study_design_scores_gemma":[0.00002421106,0.0001025047,0.000275767,0.0002346855,0.00002070554,0.0005853208,0.00003566021,0.001083585,0.03981474,0.01489112,0.9428805,0.00005121846],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.005682631,0.6122955,0.2025407,0.01436624,0.0177609,0.0006601445,0.001345274,0.002777861,0.1425707],"genre_scores_gemma":[0.09560108,0.3563839,0.2915909,0.009666466,0.01126231,0.0013366,0.00147175,0.0003671664,0.23232],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01463688,"threshold_uncertainty_score":0.04896522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005277665302810907,"score_gpt":0.2158843788237927,"score_spread":0.2106067135209818,"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."}}