{"id":"W2986887496","doi":"10.1016/j.bej.2019.107435","title":"Antimicrobial warnericin RK peptide functionalized GaAs/AlGaAs biosensor for highly sensitive and selective detection of Legionella pneumophila","year":2019,"lang":"en","type":"article","venue":"Biochemical Engineering Journal","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Agency of Canada; Health Canada; Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Biosensor; Legionella pneumophila; Biochip; Peptide; Legionella; Chemistry; Combinatorial chemistry; Bacteria; Antimicrobial peptides; Microbiology; Biochemistry; Materials science; Nanotechnology; Biology","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":[0.0001510348,0.0002239492,0.0003887316,0.0001513048,0.0001086156,0.00002300904,0.00007443293,0.0002469516,0.00000506353],"category_scores_gemma":[0.00009888953,0.0002063088,0.0001855513,0.0001161065,0.0001153778,0.00009934681,0.00004146861,0.0003733826,0.0000157087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006049529,"about_ca_system_score_gemma":0.00003900589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001709564,"about_ca_topic_score_gemma":3.347212e-7,"domain_scores_codex":[0.9990286,0.00003009344,0.0003226564,0.0002538108,0.00004178902,0.000323046],"domain_scores_gemma":[0.9993017,0.0002117817,0.0001793642,0.00009412323,0.0001718504,0.00004116997],"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":[0.0005178052,0.00004813622,0.00006538181,0.00006722237,0.0002173579,0.000002086005,0.00009300789,0.0004426998,0.9971367,0.00008113726,0.001080791,0.0002476582],"study_design_scores_gemma":[0.00163728,0.0002317081,0.001023028,0.0001138072,0.00006581773,0.000974721,0.00007793091,0.0002314209,0.9921108,0.00001699023,0.003268517,0.0002479583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932659,0.0004104048,0.005006844,0.0001254298,0.0008165418,0.000233188,0.00004469398,0.0000453799,0.00005166523],"genre_scores_gemma":[0.9980677,0.00009857267,0.0009600104,0.00005439577,0.0001990967,0.000003770088,0.00002753374,0.00003112147,0.0005577381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005025896,"threshold_uncertainty_score":0.8413028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005268164939299692,"score_gpt":0.1869065586764987,"score_spread":0.1816383937371991,"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."}}