{"id":"W2889095607","doi":"10.3390/s18113634","title":"Selective Uropathogenic E. coli Detection Using Crossed Surface-Relief Gratings","year":2018,"lang":"en","type":"article","venue":"Sensors","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Foundation for Innovation","keywords":"Detection limit; Surface plasmon resonance; Materials science; Antimicrobial; Nanotechnology; Microbiology; Optoelectronics; Nanoparticle; Chemistry; Biology; Chromatography","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":[0.0001148803,0.0001722796,0.0001598365,0.0000687994,0.0002183197,0.00006022342,0.0000532195,0.0001422055,0.00003681721],"category_scores_gemma":[0.00006248183,0.000173083,0.00008487918,0.0004706235,0.0001053511,0.00007567903,0.00001272387,0.0002024584,0.0001441855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001473329,"about_ca_system_score_gemma":0.00001147781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001032518,"about_ca_topic_score_gemma":0.0001088737,"domain_scores_codex":[0.9990644,0.00003848629,0.0002050306,0.0002230486,0.0001439304,0.0003251256],"domain_scores_gemma":[0.9995495,0.00002960044,0.0000351927,0.0001478006,0.0001482578,0.00008962207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001948056,0.00001125579,0.0001155069,0.00001847304,0.00003108471,0.000003684691,0.0001762193,0.01866543,0.9796085,0.00001762352,0.00005251144,0.001280264],"study_design_scores_gemma":[0.0001474186,0.00008967258,0.001946803,0.00001340426,0.00002166488,0.00001566891,0.00004978018,0.5335106,0.4634553,0.00009372477,0.0004772413,0.0001787559],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947776,0.00002981044,0.002680237,0.00001169864,0.0005663825,0.00011829,0.000006700026,0.0004258983,0.001383424],"genre_scores_gemma":[0.9986762,0.00001001088,0.000655096,0.00002657819,0.0003660453,0.000001161465,0.000001066283,0.00004696591,0.0002168881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5161532,"threshold_uncertainty_score":0.7058118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058933637382668,"score_gpt":0.2217167589252603,"score_spread":0.2111274225514336,"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."}}