{"id":"W4410578201","doi":"10.1016/bs.pmbts.2025.05.011","title":"Wearable biosensors: A comprehensive overview","year":2025,"lang":"en","type":"review","venue":"Progress in molecular biology and translational science","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of British Columbia; McGill University Health Centre; Concordia University; Université de Sherbrooke","funders":"","keywords":"Wearable computer; Computer science; Computational biology; Biology; Embedded system","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00155943,0.002721944,0.002798519,0.004305937,0.0003505552,0.002248245,0.00184345,0.002434447,0.004276046],"category_scores_gemma":[0.001638599,0.0009986659,0.001090307,0.004100936,0.0008620285,0.0038391,0.001803554,0.00302955,0.004023206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008634157,"about_ca_system_score_gemma":0.001497298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008105429,"about_ca_topic_score_gemma":0.001412107,"domain_scores_codex":[0.9992213,0.0001162033,0.00009877974,0.0001724952,0.0003143639,0.0000769227],"domain_scores_gemma":[0.9990869,0.0004580759,0.0001285157,0.00003199668,0.0002259435,0.00006859808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000124905,0.0001616389,0.000129259,0.02436793,0.0001037956,0.000157425,0.00005451727,0.0004132391,0.00575389,0.00395894,0.0337802,0.9309945],"study_design_scores_gemma":[0.00002763844,0.0002527164,0.000489989,0.004415434,0.000191522,0.001226629,0.00007340116,0.0003776032,0.002694078,0.002798767,0.9873875,0.00006473622],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007369569,0.9978866,0.0008269093,0.0001956459,0.0003226277,0.000009315114,0.0000225416,0.00001949516,0.0006431175],"genre_scores_gemma":[0.0005473256,0.9967889,0.0008568739,0.0003682874,0.0003503955,0.00001949594,0.00004246747,0.000004997074,0.001021348],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004305937,"threshold_uncertainty_score":0.01430476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02478663443423574,"score_gpt":0.3489919494889729,"score_spread":0.3242053150547372,"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."}}