{"id":"W3193586273","doi":"10.1039/d1ay01233a","title":"Flexible electrochemical aptasensor for cortisol detection in human sweat","year":2021,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; MacEwan University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"SWEAT; Electrochemistry; Chemistry; Nanotechnology; Chromatography; Computer science; Materials science; Internal medicine; Medicine; Electrode","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":[0.0005031832,0.0008434015,0.0003021573,0.0003668682,0.0001984096,0.0002697776,0.0005304297,0.000793029,0.001611914],"category_scores_gemma":[0.0005941208,0.0002212161,0.0003034267,0.0002343576,0.0002272032,0.0002702722,0.0004272232,0.0008182657,0.0009262264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002767269,"about_ca_system_score_gemma":0.0002655676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006643226,"about_ca_topic_score_gemma":0.001725113,"domain_scores_codex":[0.999524,0.00008268723,0.00003047186,0.0001443043,0.0001849123,0.00003362499],"domain_scores_gemma":[0.9996767,0.00008853358,0.00004899609,0.00002202216,0.00009848418,0.00006528436],"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":[0.00007024163,0.00002324396,0.0001427015,0.000109183,0.00001454054,0.0001316063,0.00002616236,0.0001708534,0.9930934,0.00009974745,0.0001842464,0.005934041],"study_design_scores_gemma":[0.00003196245,0.0005124307,0.002756057,0.00003586571,0.00003572448,0.001535422,0.00005063542,0.004908915,0.9831721,0.0002956126,0.006630692,0.00003445076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4319487,0.0400315,0.5100006,0.001676355,0.0016515,0.000709564,0.001965279,0.002037934,0.009978552],"genre_scores_gemma":[0.8259146,0.009589958,0.1493605,0.001440426,0.0002363338,0.000452296,0.0007052885,0.00005801631,0.01224259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001611914,"threshold_uncertainty_score":0.005392432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03736187461324283,"score_gpt":0.3661902867894974,"score_spread":0.3288284121762546,"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."}}