{"id":"W1963611451","doi":"10.1016/s0956-5663(02)00206-3","title":"Rapid identification of viable Escherichia coli subspecies with an electrochemical screen-printed biosensor array","year":2003,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Escherichia coli; Biosensor; Ferricyanide; Biochemistry; Chemistry; Menadione; Membrane; Electrochemistry; Chromatography; Ferrocyanide; Combinatorial chemistry; Biology; Electrode","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004436795,0.0005516967,0.0007489671,0.0007345456,0.0001993226,0.0007231992,0.0008789125,0.001260351,0.0007400354],"category_scores_gemma":[0.00112539,0.0004705489,0.0003099047,0.0004228876,0.0002456124,0.0007042234,0.0004593613,0.0009552753,0.0009965393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002680151,"about_ca_system_score_gemma":0.0001948728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003556974,"about_ca_topic_score_gemma":0.0007441881,"domain_scores_codex":[0.9990529,0.0001256403,0.00005361919,0.0002050494,0.0004848127,0.00007789748],"domain_scores_gemma":[0.9993198,0.0002773395,0.00005949032,0.00005935517,0.0002125177,0.00007152544],"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":[0.00007849772,0.00004580688,0.0002344504,0.00002513124,0.00000701801,0.00002227711,0.00001604023,0.00006279691,0.9943876,0.0000516744,0.000125007,0.004943698],"study_design_scores_gemma":[0.000009434117,0.000213527,0.002196068,0.000004722228,0.00002225653,0.0001216192,0.00002592474,0.004542984,0.9920084,0.00006885675,0.0007733947,0.00001270734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.674329,0.00281735,0.3118454,0.0008975318,0.0005854859,0.0002993668,0.001328079,0.001848784,0.006049039],"genre_scores_gemma":[0.7586971,0.001864297,0.2233543,0.0005745906,0.0001337368,0.0002961184,0.001829075,0.0001127031,0.01313812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001260351,"threshold_uncertainty_score":0.002475619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007668403841740159,"score_gpt":0.1942496835468607,"score_spread":0.1865812797051205,"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."}}