{"id":"W4310641398","doi":"10.1002/advs.202204171","title":"MicroSweat: A Wearable Microfluidic Patch for Noninvasive and Reliable Sweat Collection Enables Human Stress Monitoring","year":2022,"lang":"en","type":"article","venue":"Advanced Science","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; ARC Resources (Canada); Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; University of Calgary","keywords":"SWEAT; Wearable computer; Biomarker; Microfluidics; Eccrine sweat; Medicine; Computer science; Chemistry; Internal medicine; Materials science; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002538938,0.000163654,0.0001852191,0.0001392544,0.001709864,0.00008204676,0.0002315098,0.00002592878,0.00001277617],"category_scores_gemma":[0.00005801838,0.0001849209,0.00002665614,0.0005475715,0.0001495806,0.0004942966,0.0001116305,0.0001116884,0.000001369779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002360663,"about_ca_system_score_gemma":0.000042031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000794187,"about_ca_topic_score_gemma":0.00000782039,"domain_scores_codex":[0.9986888,0.0000135901,0.0002022491,0.000390977,0.0002042294,0.0005001975],"domain_scores_gemma":[0.9995029,0.00006712665,0.00004881448,0.000210315,0.00007674902,0.00009410669],"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":[0.00001109729,0.00001018015,0.0006995596,0.00004711143,0.000003519214,0.000003266091,0.0002448603,0.1444065,0.854067,0.0000540503,0.00007937834,0.0003735271],"study_design_scores_gemma":[0.0004826907,0.0001103916,0.0003555923,0.0000626194,0.000007572086,0.00002605097,0.0007380581,0.001466066,0.9911613,0.0006378698,0.004699411,0.0002523461],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994026,0.002083729,0.001855554,0.00001323113,0.0009601274,0.0002603696,0.00003537159,0.0002490969,0.0005165311],"genre_scores_gemma":[0.9900572,0.0006291326,0.007903901,0.00001314023,0.00007143371,0.0002378924,0.00000600798,0.00003805325,0.001043201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1429404,"threshold_uncertainty_score":0.9995898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288741622509534,"score_gpt":0.2450887359995135,"score_spread":0.2322013197744181,"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."}}