{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001512065,0.0001989184,0.0004796108,0.0003020647,0.0000735658,0.00003521718,0.0001634701,0.0002215333,0.000007828226],"category_scores_gemma":[0.000009453671,0.0001628498,0.00009955162,0.0009108791,0.0006549963,0.00005409356,0.00002580739,0.0002574211,0.000004969879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001655321,"about_ca_system_score_gemma":0.00007862887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001397964,"about_ca_topic_score_gemma":0.000001786264,"domain_scores_codex":[0.9989915,0.00005717897,0.0002584317,0.0003421963,0.0001006175,0.0002500531],"domain_scores_gemma":[0.999694,0.00008050819,0.00002744771,0.0001091506,0.00003737902,0.00005154697],"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":[9.916554e-7,0.00001075261,0.00004967431,0.003946937,0.00002583613,0.000007593146,0.000004671504,0.00002493503,0.00001950594,0.01357032,9.794542e-7,0.9823378],"study_design_scores_gemma":[0.0005862774,0.00009631734,0.0007752672,0.02465081,0.0004192365,0.00009095364,0.000007273635,0.009929865,0.0002140238,0.01986933,0.9419925,0.001368157],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004979809,0.9982056,0.0008446953,0.0000338785,0.0001166594,0.0002384955,0.00002127898,0.00004279545,0.000446801],"genre_scores_gemma":[0.001981087,0.9966844,0.001241096,0.00001728061,0.00001454014,0.0000348443,0.00001273627,0.000007726968,0.000006330673],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9809697,"threshold_uncertainty_score":0.6640822,"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."}}