{"id":"W4407876100","doi":"10.1186/s13073-025-01436-6","title":"Correction: Intricate interplay of CRISPR-Cas systems, anti-CRISPR proteins, and antimicrobial resistance genes in a globally successful multi-drug resistant Klebsiella pneumoniae clone","year":2025,"lang":"en","type":"erratum","venue":"Genome Medicine","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"CRISPR; Klebsiella pneumoniae; Computational biology; Biology; clone (Java method); Gene; Drug resistance; Human genetics; Antimicrobial; Genetics; Microbiology; Escherichia coli","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002064159,0.001556392,0.001469824,0.001906154,0.002453468,0.00251753,0.002921821,0.006975809,0.04025987],"category_scores_gemma":[0.02791352,0.0008618031,0.0009731014,0.00134486,0.001854461,0.001382077,0.00161814,0.007038316,0.02203981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002569416,"about_ca_system_score_gemma":0.003027511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008891258,"about_ca_topic_score_gemma":0.0108024,"domain_scores_codex":[0.9974673,0.0002963455,0.0003915627,0.0004191519,0.001179691,0.0002460099],"domain_scores_gemma":[0.9871837,0.003789026,0.0007400861,0.001003725,0.006258288,0.001025222],"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":[0.0001560152,0.00002031127,0.0003117586,0.0003624615,0.00004101104,0.002921998,0.00006667696,0.0002250307,0.001249491,0.001990517,0.9781795,0.01447515],"study_design_scores_gemma":[0.00007883205,0.00003662414,0.001405766,0.0002144272,0.00008651593,0.004627216,0.0001208438,0.0006958646,0.004915212,0.001655359,0.9861003,0.00006303051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00113957,0.0008997112,0.003313814,0.04174711,0.9463393,0.00003531627,0.00167517,0.0007917912,0.004058164],"genre_scores_gemma":[0.09074537,0.00939224,0.03591502,0.08006082,0.188899,0.0003458557,0.00796636,0.005233715,0.5814416],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04025987,"threshold_uncertainty_score":0.1346827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005427191960173876,"score_gpt":0.279613530312492,"score_spread":0.2741863383523181,"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."}}