{"id":"W3166462795","doi":"10.1039/d1nr02529e","title":"Low dimensional materials for glucose sensing","year":2021,"lang":"en","type":"review","venue":"Nanoscale","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kensington Health","funders":"","keywords":"Biosensor; Nanotechnology; Materials science","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":[0.0003036932,0.0008386021,0.0006106866,0.001515867,0.0002580874,0.0008375411,0.0006396731,0.001190332,0.00536486],"category_scores_gemma":[0.0004226904,0.00036094,0.000468483,0.001391535,0.0004189275,0.001318638,0.0006460155,0.001961141,0.003481463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005315955,"about_ca_system_score_gemma":0.0004838631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005488945,"about_ca_topic_score_gemma":0.0007603626,"domain_scores_codex":[0.9998072,0.00002307128,0.00001618389,0.00003856033,0.00009906471,0.00001590359],"domain_scores_gemma":[0.9998996,0.00004544674,0.00001647519,0.00000648914,0.00002391187,0.000008026602],"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":[0.00005232049,0.0001111254,0.0001492029,0.01897307,0.00005879809,0.000349988,0.00009595416,0.0008083881,0.03739131,0.04120248,0.04394148,0.8568659],"study_design_scores_gemma":[0.000004945488,0.00004715992,0.0001821356,0.001029408,0.00002302184,0.0006741556,0.00001957923,0.0001476479,0.004468397,0.003882338,0.9895064,0.00001480254],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003884071,0.9911371,0.001477325,0.0003400045,0.0006991562,0.00001492289,0.0000457653,0.00002483411,0.005872533],"genre_scores_gemma":[0.003668204,0.9882137,0.002046977,0.0004169149,0.00035691,0.00003172854,0.00008170839,0.000007818018,0.005176174],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00536486,"threshold_uncertainty_score":0.01794726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024175354425855,"score_gpt":0.3241930325771858,"score_spread":0.3039512790329272,"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."}}