{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006166332,0.0006399946,0.00121313,0.0004604268,0.00009127252,0.00004143073,0.0005963486,0.0005832675,0.00001580407],"category_scores_gemma":[0.0002662848,0.0006019357,0.0001160341,0.0005362478,0.0002849575,0.000007176967,0.0003908645,0.000625213,0.000001859142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001122307,"about_ca_system_score_gemma":0.0003376796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009957106,"about_ca_topic_score_gemma":0.00190487,"domain_scores_codex":[0.9967251,0.0001612943,0.001155131,0.001047959,0.0003547296,0.0005557926],"domain_scores_gemma":[0.9982308,0.00003822841,0.0004485335,0.0008207095,0.0003074688,0.0001543089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004984867,0.0001645017,0.001076912,0.005648765,0.0003339385,0.0001579183,0.0004282604,0.0003922918,0.5917425,0.00001212621,0.3988518,0.0006925576],"study_design_scores_gemma":[0.003831146,0.0006095386,0.007883986,0.007480174,0.0004004588,0.0001494765,0.0007730787,0.0006562838,0.0464303,0.000006133174,0.9303745,0.001404903],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06458873,0.7865657,0.0653311,0.003745919,0.06140806,0.005873283,0.001316676,0.0001754338,0.01099508],"genre_scores_gemma":[0.6521289,0.08567933,0.001304391,0.000328542,0.004411599,0.0002300792,0.002391403,0.0002224831,0.2533033],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7008864,"threshold_uncertainty_score":0.9996432,"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."}}