{"id":"W3132884103","doi":"10.1021/cen-09906-scicon2","title":"Glucose meter–based device detects pathogens","year":2021,"lang":"en","type":"article","venue":"C&EN Global Enterprise","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glucose meter; Metre; Computer science; Biology; Diabetes mellitus; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003474306,0.0008518323,0.000439901,0.0009727983,0.0003381286,0.001201445,0.001406182,0.002246101,0.008430534],"category_scores_gemma":[0.0010345,0.0003499754,0.0003275384,0.0005844702,0.0004758473,0.0009743501,0.0006213632,0.001013882,0.003968465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005732007,"about_ca_system_score_gemma":0.0002468049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005251096,"about_ca_topic_score_gemma":0.0005554535,"domain_scores_codex":[0.9991334,0.00009035511,0.00003693354,0.0002530792,0.0004036068,0.00008266281],"domain_scores_gemma":[0.999612,0.0001091949,0.00005680157,0.000037463,0.0001390854,0.0000454517],"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":[0.0009804772,0.0004874557,0.003272318,0.0005068635,0.00008048416,0.0007910428,0.0001321375,0.000500476,0.7725501,0.008779903,0.07342301,0.1384958],"study_design_scores_gemma":[0.0001432657,0.0007604702,0.003081611,0.00009537992,0.0000971597,0.001531616,0.0001262302,0.007432497,0.8668588,0.001379484,0.1183884,0.0001052082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4172536,0.02918163,0.23634,0.02689421,0.0211317,0.001166274,0.006684768,0.02980781,0.2315401],"genre_scores_gemma":[0.7979876,0.006135496,0.09487838,0.01761663,0.002075057,0.0003514398,0.002018746,0.0003737252,0.07856308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008430534,"threshold_uncertainty_score":0.02820295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006489530194680663,"score_gpt":0.2161140753495037,"score_spread":0.2096245451548231,"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."}}