{"id":"W4307772450","doi":"10.1128/spectrum.02118-22","title":"Detection of Diverse Sequence Types of Legionella pneumophila by Legiolert Enzymatic-Based Assay and the Development of a Long-Term Storage Protocol","year":2022,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Legionella pneumophila; Legionella; Biology; Typing; Legionnaires' disease; Subspecies; Microbiology; Outbreak; Population; Potable water; Bacteria; Virology; Genetics; Ecology; Medicine; Environmental science","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":[0.0005244002,0.0001185594,0.0002247478,0.00006090775,0.0001351845,0.000003483506,0.0002460145,0.00008064169,0.00001758792],"category_scores_gemma":[0.00002814482,0.00008886671,0.00006175683,0.0001263301,0.0005432154,0.000002494779,0.000250346,0.0001290272,7.727002e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002688027,"about_ca_system_score_gemma":0.0001868884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004120766,"about_ca_topic_score_gemma":0.0000625426,"domain_scores_codex":[0.9989259,0.0002720989,0.000307412,0.0002351152,0.00007961142,0.0001798506],"domain_scores_gemma":[0.9994076,0.00003973105,0.0002353979,0.0002341681,0.00005744927,0.00002564693],"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":[0.0006335861,0.0000977539,0.00273831,0.00009675326,0.00006899547,0.000001929246,0.0001499825,0.00004185505,0.9956313,0.00001933611,0.0001316269,0.0003885392],"study_design_scores_gemma":[0.001469616,0.0003491492,0.0008299013,0.00001253184,0.0000130979,0.00002870978,0.00007815736,0.00004769594,0.9950387,0.00001405637,0.002021045,0.00009730244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935384,0.0001342049,0.0009528928,0.000180287,0.00004412726,0.005022243,0.0000563828,0.000004080229,0.00006740972],"genre_scores_gemma":[0.9978475,0.00000658431,0.00008885154,0.00003987435,0.00001648774,0.001773593,0.00007046887,0.00001000484,0.0001466659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004309097,"threshold_uncertainty_score":0.362388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373123356569665,"score_gpt":0.2604386054956209,"score_spread":0.2467073719299242,"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."}}