{"id":"W4224047026","doi":"10.1021/acsnanoscienceau.2c00001","title":"Gold Nanoparticle Smartphone Platform for Diagnosing Urinary Tract Infections","year":2022,"lang":"en","type":"article","venue":"ACS Nanoscience Au","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Mount Sinai Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Proteus mirabilis; Klebsiella pneumoniae; Urinary system; Gold standard (test); Pathogen; Escherichia coli; Proteus; Microbiology; Bacteria; Colloidal gold; Antibiotics; Medicine; Biology; Staphylococcus aureus; Nanoparticle; Internal medicine; Nanotechnology; Materials science","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":[0.0001830795,0.00008439349,0.00008727777,0.00008098583,0.0004859882,0.00004037681,0.0001184646,0.00002787712,0.00003560089],"category_scores_gemma":[0.00006213085,0.00008543672,0.00005729169,0.0005419369,0.00005085711,0.0002537394,0.00004595714,0.0001270571,0.00001541956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001821298,"about_ca_system_score_gemma":0.00002422117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004149682,"about_ca_topic_score_gemma":0.00001172316,"domain_scores_codex":[0.9992161,0.000007989611,0.0001386687,0.0001649259,0.0001558209,0.0003164624],"domain_scores_gemma":[0.9996551,0.0001096787,0.00001909714,0.0001273077,0.00001508285,0.00007370886],"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":[0.0000249525,0.001405269,0.007238871,0.00006017998,0.00002385296,0.0000296978,0.0008195785,0.05654024,0.8870177,0.001624654,0.00479015,0.04042488],"study_design_scores_gemma":[0.001302322,0.003198806,0.03697586,0.00002984981,0.00006904524,0.0003395615,0.0007135455,0.3224384,0.5200961,0.002323633,0.1115628,0.0009500784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968672,0.00005195705,0.00115287,0.0001726584,0.0008457745,0.0001435355,0.0000169153,0.0001870356,0.0005620387],"genre_scores_gemma":[0.9993465,0.000009635445,0.0001005271,0.00008873249,0.0000729984,0.00009958082,0.000002436922,0.00001359366,0.0002660058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3669216,"threshold_uncertainty_score":0.3737877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843010326752157,"score_gpt":0.2334917854700476,"score_spread":0.2150616822025261,"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."}}