{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002217738,0.0001004185,0.0001490566,0.00005288546,0.00004270969,0.00002140786,0.00004813126,0.0001068174,0.000002158195],"category_scores_gemma":[0.0002437385,0.00009756024,0.0000743829,0.00006884759,0.00002483504,0.00003775698,0.000007646227,0.00007186672,0.00001405295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001802812,"about_ca_system_score_gemma":0.000002474361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001162619,"about_ca_topic_score_gemma":0.000007684113,"domain_scores_codex":[0.9993526,0.000009738281,0.0002598871,0.0001218943,0.00007900629,0.0001768641],"domain_scores_gemma":[0.9995912,0.0001454366,0.00004502108,0.0001098403,0.00004610812,0.00006236654],"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":[0.00001338767,0.00001043801,0.0000171887,0.0001029785,0.00001245878,2.498619e-7,0.00001289493,0.03325421,0.9589767,0.00001867814,0.00001834446,0.007562478],"study_design_scores_gemma":[0.000158218,0.00006697743,0.002935806,0.00003577295,0.00001929239,0.000003177969,0.00001183928,0.07905477,0.9149069,0.0001408068,0.002561842,0.000104653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835331,0.0000325477,0.001859004,0.00002723624,0.0004011951,0.00008682248,0.000004167453,0.0001629013,0.01389301],"genre_scores_gemma":[0.9970771,0.000006360493,0.002574111,0.000007937852,0.0002622796,0.000005562459,0.000001807101,0.00002409633,0.0000407129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04580056,"threshold_uncertainty_score":0.3978391,"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."}}