{"id":"W3128641117","doi":"10.1038/s41467-020-20639-6","title":"A glucose meter interface for point-of-care gene circuit-based diagnostics","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Sinai Health System; Canadian Food Inspection Agency; Lunenfeld-Tanenbaum Research Institute; Hospital for Sick Children; Hydro One (Canada); SickKids Foundation; University of Toronto","funders":"National Center for Research Resources; National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; International Development Research Centre; National Institutes of Health; Canada First Research Excellence Fund; University of Toronto; Canadian Food Inspection Agency; Arizona Biomedical Research Commission; Gordon and Betty Moore Foundation; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Bill and Melinda Gates Foundation","keywords":"Point of care; Analyte; Computer science; Multiplexing; Interface (matter); Molecular diagnostics; Nanotechnology; Computational biology; Chemistry; Biology; Bioinformatics; Materials science; Medicine; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.00008468836,0.0001053158,0.0001447259,0.00003770784,0.00009965838,0.00001299397,0.0004149028,0.00026888,0.000001049574],"category_scores_gemma":[0.0005909691,0.0001008459,0.0001712262,0.0001523795,0.0001053144,0.00000237507,0.0002016068,0.0001987857,4.732504e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001657014,"about_ca_system_score_gemma":0.00008870554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001317071,"about_ca_topic_score_gemma":0.0001246315,"domain_scores_codex":[0.9993596,0.00007461674,0.0001831554,0.0002030044,0.00006735828,0.0001122449],"domain_scores_gemma":[0.9976137,0.0001294123,0.00009960908,0.001483707,0.00063968,0.00003390439],"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":[0.00002260558,0.0001223806,0.0002860874,0.00002389516,0.00007674607,5.231537e-7,0.00002856964,0.000007577616,0.9929344,0.0004101038,0.002192522,0.003894574],"study_design_scores_gemma":[0.0001982951,0.00008898324,0.00009261494,0.00002638279,0.00007513745,0.000002959986,0.00009169631,0.00008413394,0.928785,0.0001089238,0.07033236,0.0001135755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.306268,0.3198072,0.356007,0.009619562,0.0005286852,0.001673685,0.002070827,0.0002770945,0.003747961],"genre_scores_gemma":[0.8646289,0.00167249,0.131897,0.0004697182,0.00004000866,0.00002681724,0.001203131,0.00001500231,0.00004696597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5583608,"threshold_uncertainty_score":0.4112375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728982439540149,"score_gpt":0.3271793764169056,"score_spread":0.3098895520215041,"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."}}