{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000413056,0.0001852895,0.0001978048,0.0000070833,0.00004366783,0.00003088079,0.0001689818,0.0001790196,0.000004295462],"category_scores_gemma":[0.00004082375,0.0001399529,0.0000711391,0.00008937553,0.0001845425,0.00005651849,0.00009470789,0.000324063,0.000005456232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007040866,"about_ca_system_score_gemma":0.000001558198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.919077e-7,"about_ca_topic_score_gemma":1.35439e-7,"domain_scores_codex":[0.9991835,0.000002958977,0.0001431651,0.000234192,0.00007136389,0.0003648265],"domain_scores_gemma":[0.9995211,0.0002168077,0.00002298209,0.0001708747,0.00002245343,0.00004578247],"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":[0.00001088172,0.000003719396,0.00002623895,0.00007537345,0.00004642742,3.746104e-8,0.0001320135,0.000002427967,0.9977123,0.00005440425,0.0009629505,0.0009732023],"study_design_scores_gemma":[0.0002348453,0.00002302002,0.000004975124,0.00002622813,0.00001937817,0.00001792485,0.0002775106,0.003292316,0.9917224,0.001135834,0.00305969,0.0001858493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847697,0.007459587,0.006427216,0.0005781015,0.00003610386,0.0002355241,0.000002870644,0.000420971,0.00006993237],"genre_scores_gemma":[0.9952798,0.0006650561,0.003778955,0.0001529826,0.00004155767,0.00001072687,0.00000299696,0.00003336496,0.00003453498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01051013,"threshold_uncertainty_score":0.5707113,"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."}}