{"id":"W4328048584","doi":"10.1128/spectrum.00452-23","title":"Correction for Matthews et al., “Detection of Diverse Sequence Types of Legionella pneumophila by Legiolert Enzymatic-Based Assay and the Development of a Long-Term Storage Protocol”","year":2023,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legionella pneumophila; Term (time); Protocol (science); Computational biology; Sequence (biology); Legionella; Computer science; Biology; Microbiology; Genetics; Medicine; Bacteria; Physics; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01071093,0.003580524,0.003062119,0.0100517,0.004520904,0.005320019,0.005911722,0.006893322,0.1390429],"category_scores_gemma":[0.128918,0.0027371,0.004392022,0.004690837,0.003049583,0.003715487,0.003720572,0.01345728,0.07041011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00494634,"about_ca_system_score_gemma":0.00745428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01526124,"about_ca_topic_score_gemma":0.01883348,"domain_scores_codex":[0.9856393,0.002564051,0.00295362,0.002278566,0.005494024,0.001070319],"domain_scores_gemma":[0.8943782,0.0235501,0.004500763,0.005902296,0.0677686,0.003900067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004424535,0.000007117068,0.00007114019,0.0002383581,0.00001586275,0.00006896333,0.00003444704,0.00002375927,0.0001148666,0.0003192889,0.9946427,0.004419095],"study_design_scores_gemma":[0.00009326848,0.00003331177,0.002629573,0.0007027144,0.00007180226,0.0005718465,0.0001362579,0.0003780909,0.0005572609,0.001884684,0.9928607,0.00008048362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002089464,0.00135096,0.002410478,0.02627694,0.9634613,0.00007892729,0.003153443,0.001650613,0.001408318],"genre_scores_gemma":[0.02042068,0.01098223,0.03122518,0.09567754,0.5472907,0.002074477,0.02581042,0.01373258,0.2527862],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1390429,"threshold_uncertainty_score":0.4651449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01981771047616626,"score_gpt":0.2954802191859162,"score_spread":0.2756625087097499,"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."}}