{"id":"W2311800685","doi":"10.1149/ma2014-01/5/404","title":"Optical Biosensor for Detection of Listeria monocytogenes","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Listeria monocytogenes; Biosensor; Interferometry; Mach–Zehnder interferometer; Listeria; Detection limit; Foodborne pathogen; Materials science; Fabrication; Pathogen; Optoelectronics; Nanotechnology; Microbiology; Optics; Biology; Chemistry; Physics; Bacteria; Chromatography; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003143274,0.0003319131,0.0002396889,0.0002450623,0.0001308912,0.0002847025,0.0004149183,0.0003756075,0.0008608055],"category_scores_gemma":[0.0003486651,0.0001549151,0.0002160683,0.0001662092,0.0001478393,0.0002714829,0.0002351215,0.0003582139,0.0004809987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003558002,"about_ca_system_score_gemma":0.0002075215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002767789,"about_ca_topic_score_gemma":0.0004623543,"domain_scores_codex":[0.9996483,0.00004458347,0.00001705984,0.00005777657,0.0001960915,0.00003615755],"domain_scores_gemma":[0.9998854,0.00003135463,0.00002653235,0.00000692213,0.00004193112,0.000007699236],"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":[0.00003176764,0.00001827583,0.0003500678,0.00009751222,0.000003863061,0.00001892713,0.00001110692,0.0001732965,0.9946262,0.0001727207,0.00009787203,0.004398302],"study_design_scores_gemma":[0.000009345195,0.0003038189,0.001252276,0.00001426272,0.00001673978,0.0002043786,0.00002297473,0.004085864,0.9896327,0.00006698808,0.004380707,0.000009844021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8132708,0.01151242,0.1640042,0.001016919,0.000449343,0.0002237874,0.0004839688,0.001125654,0.00791284],"genre_scores_gemma":[0.8302267,0.003760176,0.1582751,0.0004231819,0.00006644416,0.0001101128,0.0004099825,0.00004960403,0.006678843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008608055,"threshold_uncertainty_score":0.002879679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716214846525223,"score_gpt":0.2297473528852566,"score_spread":0.2125852044200044,"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."}}