{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003485313,0.0006851354,0.000403305,0.0005067784,0.0001721632,0.0003715668,0.0004833088,0.001028256,0.001697555],"category_scores_gemma":[0.0004925677,0.0002967983,0.0002594923,0.000146034,0.0001771328,0.0003682396,0.0005386015,0.0003669579,0.001118619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003160001,"about_ca_system_score_gemma":0.0002720156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007151091,"about_ca_topic_score_gemma":0.001183728,"domain_scores_codex":[0.9995624,0.0000606887,0.00002418599,0.0001307227,0.0001786808,0.00004324072],"domain_scores_gemma":[0.9998098,0.00004633496,0.00002594685,0.00001493135,0.00008087244,0.00002202753],"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":[0.0001559583,0.00004954167,0.001078739,0.0002257877,0.00002322622,0.0002095408,0.00004735864,0.0003247518,0.9620103,0.0002500328,0.00145044,0.03417418],"study_design_scores_gemma":[0.00003529483,0.000818635,0.004702498,0.00006346185,0.00008317848,0.00137384,0.00007460424,0.01792878,0.9617437,0.0002781551,0.01284223,0.00005559385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7594633,0.02088062,0.1927325,0.002117934,0.001250745,0.0006563708,0.001386351,0.004475985,0.01703624],"genre_scores_gemma":[0.8672775,0.003988694,0.1172181,0.0009551308,0.0001585573,0.0002756031,0.0005205461,0.00005845531,0.00954736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001697555,"threshold_uncertainty_score":0.005678833,"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."}}