{"id":"W2885429682","doi":"10.3390/antibiotics7030070","title":"Evaluation of a Hydrogel-Based Diagnostic Approach for the Point-of-Care Based Detection of Neisseria gonorrhoeae","year":2018,"lang":"en","type":"article","venue":"Antibiotics","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; National Institute for Nanotechnology; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Grand Challenges Canada","keywords":"Neisseria gonorrhoeae; Primer (cosmetics); Microbiology; Neisseria; Neisseriaceae; Virology; Point-of-care testing; Point of care; Biology; Medicine; Chemistry; Bacteria; Antibiotics; Immunology; Pathology; Genetics","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":[0.001475289,0.00009869474,0.0002005235,0.0001490647,0.0001253057,0.000003767894,0.0001606189,0.0001438161,0.00005842063],"category_scores_gemma":[0.003300374,0.00007524613,0.0001170158,0.0003114567,0.0005623812,0.00004235918,0.0000218343,0.0001168762,0.00001070679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000470896,"about_ca_system_score_gemma":0.0002520018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009311295,"about_ca_topic_score_gemma":0.0000345431,"domain_scores_codex":[0.9989948,0.0002706374,0.0002965472,0.0002128558,0.00006042851,0.0001646923],"domain_scores_gemma":[0.9962859,0.001099391,0.0002250491,0.0004972621,0.001884106,0.000008293298],"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":[0.00028059,0.0004173892,0.006527802,0.0002194793,0.0002010667,1.447525e-8,0.0002123948,0.002192161,0.9715709,0.0001365736,0.00003232015,0.01820928],"study_design_scores_gemma":[0.001091986,0.001079653,0.02105579,0.00003446885,0.0003277915,0.000002273741,0.0003028607,0.01175011,0.9640474,0.0000585015,0.0001818054,0.00006738138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9403943,0.001122797,0.05633238,0.00003639747,0.0003711699,0.001257274,0.00004447719,0.00001566285,0.0004255142],"genre_scores_gemma":[0.9992331,0.00001065729,0.0006129253,0.000007442232,0.00003746513,0.000007954949,0.00006002916,0.00001455244,0.00001586487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05883878,"threshold_uncertainty_score":0.3951095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03665278976186284,"score_gpt":0.3235509498651114,"score_spread":0.2868981601032485,"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."}}