{"id":"W4386204470","doi":"10.1016/j.heliyon.2023.e19467","title":"Nanosensors in the detection of antihypertension drugs, a golden step for medication adherence monitoring","year":2023,"lang":"en","type":"review","venue":"Heliyon","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Tabriz; Research Institute for Aging, University of Waterloo; Tabriz University of Medical Sciences","keywords":"Biosensor; Nanosensor; Medicine; Intensive care medicine; Nanotechnology; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001082468,0.00112351,0.0009865307,0.002470273,0.0002847945,0.0008329593,0.000869403,0.001875803,0.001986207],"category_scores_gemma":[0.001096234,0.0005217482,0.0007425518,0.001861043,0.0005265785,0.001315633,0.0006714871,0.001626342,0.001645073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005266791,"about_ca_system_score_gemma":0.0006235666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006948112,"about_ca_topic_score_gemma":0.001039097,"domain_scores_codex":[0.9990141,0.0001643103,0.00006304729,0.0001623066,0.0005306089,0.00006564026],"domain_scores_gemma":[0.999535,0.0002052074,0.00006848763,0.00001724863,0.0001540012,0.00002008253],"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":[0.000112895,0.0001701954,0.001034766,0.02590156,0.0002231638,0.0005221902,0.0002192968,0.001137403,0.07731643,0.01694761,0.02354884,0.8528657],"study_design_scores_gemma":[0.00001181331,0.0003540768,0.001753506,0.002491682,0.0001860109,0.002189605,0.0001663863,0.001307215,0.062586,0.004427199,0.9244471,0.00007936147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001428005,0.985975,0.00595563,0.0008465128,0.0009823028,0.00002878875,0.00007059803,0.00005429773,0.004658906],"genre_scores_gemma":[0.01479057,0.970476,0.007589963,0.0007467612,0.0006125409,0.00006029729,0.0001125564,0.0000118917,0.005599416],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002470273,"threshold_uncertainty_score":0.006644547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04369267487572812,"score_gpt":0.296089544427378,"score_spread":0.2523968695516499,"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."}}