{"id":"W4213243410","doi":"10.1109/jflex.2022.3152465","title":"A Low-Temperature-Processed, Soft-Fluidic OEGFET Saliva Aptasensor for Cortisol","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Flexible Electronics","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biosensor; Detection limit; Microfluidics; Saliva; Materials science; Nanotechnology; Repeatability; Electrolyte; Chromatography; Computer science; Optoelectronics; Chemistry; Electrode; Biochemistry","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":[0.0001847546,0.0004196501,0.0002163818,0.0002064112,0.0001702454,0.0002994824,0.0005351168,0.0006185229,0.001291014],"category_scores_gemma":[0.0003432555,0.0001888371,0.0002195004,0.0001696557,0.0001634694,0.0003854895,0.0002925729,0.0004215363,0.0009524262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002789581,"about_ca_system_score_gemma":0.0002386604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006758651,"about_ca_topic_score_gemma":0.001573661,"domain_scores_codex":[0.9998471,0.00001549878,0.00001072566,0.00005674507,0.00005223071,0.0000177182],"domain_scores_gemma":[0.9998865,0.00003053415,0.00002114152,0.00001202188,0.00003233105,0.00001752167],"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":[0.00001463904,0.000006376366,0.00007104974,0.00003318023,0.000001884101,0.00005467678,0.00001773277,0.00009605212,0.9967964,0.0001002185,0.0001565567,0.002651144],"study_design_scores_gemma":[0.000004293379,0.00007158546,0.000572128,0.000005953557,0.000005616523,0.0002529699,0.00002011517,0.003024184,0.9927084,0.00007628486,0.003242391,0.00001612507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8312622,0.003009682,0.154105,0.0009789189,0.000527585,0.0002530572,0.002070497,0.00175695,0.006036106],"genre_scores_gemma":[0.8506561,0.001711362,0.1368529,0.0006138482,0.00008137718,0.0001870755,0.0009818762,0.0001231544,0.008792396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001291014,"threshold_uncertainty_score":0.004318833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288050633167998,"score_gpt":0.2500570326699867,"score_spread":0.2371765263383068,"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."}}