{"id":"W4408121013","doi":"10.1016/j.bios.2025.117283","title":"Electrochemical detection of Legionella pneumophila using DNAzymes and under continuous flow in cooling tower water","year":2025,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Legionella pneumophila; Legionella; Deoxyribozyme; Microbiology; Cooling tower; Pathogen; Detection limit; Environmental science; Water cooling; Biology; Chemistry; Bacteria; Chromatography; Engineering","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":[0.0001494884,0.0001381444,0.0001810576,0.0001091387,0.00006890083,0.00002388355,0.00006363683,0.000200006,9.063842e-7],"category_scores_gemma":[0.00001899918,0.000108779,0.00004243317,0.0001217769,0.0001373143,0.000004393598,0.00008649744,0.0001457798,2.060152e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002686613,"about_ca_system_score_gemma":0.00006411182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005079009,"about_ca_topic_score_gemma":0.0000660946,"domain_scores_codex":[0.9990181,0.00003590075,0.000192735,0.0003081243,0.0000795441,0.0003655764],"domain_scores_gemma":[0.9997276,0.00001313278,0.00003047601,0.0001257724,0.00005933665,0.00004365832],"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":[0.0001989086,0.00003492745,0.0008039182,0.00002615935,0.00003055363,0.000001552185,0.00002220828,0.00001489233,0.9978251,0.00007931118,0.00001368895,0.0009487993],"study_design_scores_gemma":[0.00053145,0.0002154825,0.0002580939,0.00002207852,0.00001594587,0.00002669654,0.00007379432,0.002241345,0.9947736,0.000186401,0.001519156,0.0001359769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957832,0.00301969,0.0007452256,0.0002113333,0.00003875166,0.0001308073,0.000002430093,0.00000571144,0.00006285562],"genre_scores_gemma":[0.9979168,0.001600122,0.0001084465,0.00009183569,0.00005229121,0.000002891294,0.00001190654,0.00001069956,0.0002050286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003051502,"threshold_uncertainty_score":0.4435879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008142204148867252,"score_gpt":0.2508440251767847,"score_spread":0.2427018210279175,"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."}}