{"id":"W4210962827","doi":"10.3390/bios12020105","title":"Selective Detection of Legionella pneumophila Serogroup 1 and 5 with a Digital Photocorrosion Biosensor Using Antimicrobial Peptide-Antibody Sandwich Strategy","year":2022,"lang":"en","type":"article","venue":"Biosensors","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Health Canada; CMC Microsystems","keywords":"Legionella pneumophila; Biosensor; Antimicrobial; Microbiology; Legionella; Peptide; Antibody; Chemistry; Chromatography; Medicine; Biology; Biochemistry; Immunology; Bacteria","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003844694,0.000622461,0.0003097423,0.0002963883,0.0001010214,0.0002968351,0.000497087,0.0006129532,0.0004824389],"category_scores_gemma":[0.0002566592,0.0002311806,0.0003169608,0.0001652759,0.0001865142,0.0002979298,0.0003373811,0.0003723641,0.0002095983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002633033,"about_ca_system_score_gemma":0.0001207286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002290299,"about_ca_topic_score_gemma":0.0004294978,"domain_scores_codex":[0.9996864,0.00005632643,0.00002214395,0.0000993623,0.00009147506,0.00004423723],"domain_scores_gemma":[0.9998556,0.00004317658,0.00004420314,0.00001223082,0.00002404427,0.0000205843],"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":[0.00002042138,0.00001008268,0.00009019506,0.000033606,0.000004794682,0.00001819901,0.000005389372,0.0000354228,0.9988638,0.00002416591,0.00001091316,0.0008829963],"study_design_scores_gemma":[0.000003487709,0.0001031896,0.0005070528,0.000002126341,0.000007303615,0.0001209681,0.00000551535,0.0006762826,0.9983075,0.000008175863,0.0002546618,0.000003806676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9589174,0.0037018,0.03559173,0.0001358987,0.00006580079,0.00005761737,0.0001346209,0.0002007539,0.001194281],"genre_scores_gemma":[0.9507586,0.001221665,0.04601941,0.000105265,0.00001534105,0.00005063221,0.0001891538,0.000009191574,0.001630806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000622461,"threshold_uncertainty_score":0.002033293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328985671213044,"score_gpt":0.2599594581705668,"score_spread":0.2466696014584364,"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."}}