{"id":"W2290005693","doi":"10.1016/j.bios.2016.03.003","title":"Selective ciprofloxacin antibiotic detection by fluorescent siderophore pyoverdin","year":2016,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Antibiotics Pharmacokinetics and Efficacy","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Infection and Immunity; University Grants Commission; Department of Science and Technology, Republic of South Africa","keywords":"Siderophore; Ciprofloxacin; Antibiotics; Microbiology; Chemistry; Fluorescence; Biology; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002411436,0.0003222527,0.0001939641,0.000183251,0.0001073605,0.000268466,0.0002833804,0.0005570557,0.0004665704],"category_scores_gemma":[0.0004377236,0.0002428072,0.0001516887,0.0001164184,0.0002978091,0.0002844781,0.0002848113,0.0004119419,0.0002048465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003951044,"about_ca_system_score_gemma":0.000246648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005622713,"about_ca_topic_score_gemma":0.0007517164,"domain_scores_codex":[0.9996427,0.00007052641,0.00001464019,0.00007954142,0.0001261995,0.00006631171],"domain_scores_gemma":[0.9997898,0.00007133422,0.00005534584,0.00001764703,0.00004167417,0.00002429035],"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":[0.00004638591,0.000003706326,0.00009253957,0.00001125475,0.000001156609,0.00001899445,0.000006564394,0.00002289259,0.9988534,0.0000449845,0.00001837228,0.0008795292],"study_design_scores_gemma":[0.000002519638,0.00004508535,0.0005931925,0.000001312302,0.000001916936,0.00007256959,0.000005395051,0.000580702,0.9984336,0.00001003555,0.0002517973,0.000001841354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676254,0.001394572,0.02817788,0.0002320305,0.00003729247,0.00002691887,0.00009533597,0.0001859032,0.002224775],"genre_scores_gemma":[0.9845986,0.0007076866,0.01193581,0.00008236299,0.00001148132,0.00002519405,0.00009562277,0.00001522217,0.002528043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005622713,"threshold_uncertainty_score":0.002866685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006553373858333212,"score_gpt":0.2373283487702576,"score_spread":0.2307749749119244,"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."}}