{"id":"W4410897340","doi":"10.1038/s41596-025-01213-0","title":"Author Correction: Transcriptomic profiling of individual bacteria by MATQ-seq","year":2025,"lang":"en","type":"erratum","venue":"Nature Protocols","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Profiling (computer programming); Computational biology; Transcriptome; Biology; Bioinformatics; Computer science; Genetics; Gene; Gene expression","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":[0.004933912,0.002182002,0.001867969,0.003475713,0.003987778,0.003605115,0.003742536,0.00509058,0.1056459],"category_scores_gemma":[0.04909259,0.001384035,0.001494053,0.002391477,0.001968856,0.002603643,0.00332272,0.009273707,0.06151963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00302776,"about_ca_system_score_gemma":0.006030646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01022905,"about_ca_topic_score_gemma":0.01682553,"domain_scores_codex":[0.9940926,0.00076591,0.0008193024,0.0009591458,0.002932641,0.0004303333],"domain_scores_gemma":[0.9577023,0.008147368,0.001463742,0.003907952,0.02670654,0.002072131],"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":[0.00004608137,0.000009246171,0.0000944339,0.0001600118,0.00001428196,0.0002086549,0.00003659395,0.00006844869,0.000472303,0.0006970231,0.9915823,0.006610535],"study_design_scores_gemma":[0.00004344533,0.00001614343,0.000666899,0.000191152,0.00004607799,0.0004996067,0.00006850846,0.0003831577,0.002350473,0.001912845,0.993773,0.0000488516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0003962367,0.0004470249,0.004624994,0.02642895,0.9580622,0.00003960155,0.004342744,0.002016715,0.003641373],"genre_scores_gemma":[0.02992104,0.004930653,0.04390392,0.09512955,0.1900087,0.0006930954,0.02470748,0.01658948,0.594116],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1056459,"threshold_uncertainty_score":0.3534207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253796733918783,"score_gpt":0.3005509686072451,"score_spread":0.2880130012680573,"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."}}