{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006144202,0.0001715096,0.000178262,0.00002695131,0.0000424119,0.00005927445,0.0001052362,0.000119069,0.0001249727],"category_scores_gemma":[0.00006601131,0.0001728178,0.0001531617,0.0003258809,0.00001885829,0.00006523411,0.00003966501,0.0001292454,0.0002249122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000158538,"about_ca_system_score_gemma":0.00002319513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009192308,"about_ca_topic_score_gemma":0.00005032718,"domain_scores_codex":[0.9990901,0.00004482288,0.0001874663,0.0002303781,0.0001565304,0.0002907287],"domain_scores_gemma":[0.9994692,0.00003481292,0.00001680267,0.0002600641,0.00005561909,0.0001634519],"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":[0.0001697134,0.0005612547,0.005702945,0.0008013762,0.0005982176,0.00267434,0.0002208482,0.02702528,0.5973338,0.000934087,0.00591375,0.3580644],"study_design_scores_gemma":[0.001701132,0.0001393126,0.01038379,0.000240115,0.0002544582,0.0001431507,0.0001208928,0.4137238,0.5111483,0.0007061754,0.06040086,0.001038054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514273,0.001519406,0.03567478,0.0001541474,0.0008947902,0.0001087027,0.0001183759,0.0005972821,0.009505158],"genre_scores_gemma":[0.997838,0.00005591406,0.001596834,0.0003133506,0.0001006332,0.000005868232,0.00001237802,0.0000198569,0.00005722139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3866985,"threshold_uncertainty_score":0.7047305,"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."}}