{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008137131,0.0007788137,0.0003506756,0.0009385005,0.0003147028,0.0005978736,0.0005392136,0.0004026117,0.0008441037],"category_scores_gemma":[0.001247849,0.0003408039,0.0003122614,0.0007281348,0.0003383537,0.000610473,0.0006547543,0.0006846393,0.0008113949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001867655,"about_ca_system_score_gemma":0.0002932624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004521669,"about_ca_topic_score_gemma":0.000858599,"domain_scores_codex":[0.9991436,0.000236347,0.0001471949,0.0001779975,0.0002119878,0.0000827714],"domain_scores_gemma":[0.9993312,0.0001541504,0.000146679,0.0001348921,0.0001679506,0.0000651377],"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":[0.00003747323,0.00002676676,0.0009226118,0.00003965556,0.000005805481,0.00003517901,0.00003828633,0.0000504255,0.9964361,0.00004897943,0.00003563472,0.002323138],"study_design_scores_gemma":[0.000005841317,0.0004011898,0.007419375,0.00002781811,0.00003739788,0.0003911821,0.000086598,0.001199771,0.9881884,0.0001108341,0.002109754,0.00002176607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7679955,0.002965979,0.2218287,0.0003572761,0.00015354,0.0006587561,0.001908202,0.000575661,0.003556433],"genre_scores_gemma":[0.7145755,0.003229576,0.2683205,0.0002425001,0.00006251251,0.001523575,0.005998984,0.0001887767,0.00585814],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0009385005,"threshold_uncertainty_score":0.004303336,"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."}}