{"id":"W4229376779","doi":"10.1038/s41598-022-12064-0","title":"Author Correction: High-throughput identification of viral termini and packaging mechanisms in virome datasets using PhageTermVirome","year":2022,"lang":"en","type":"erratum","venue":"Scientific Reports","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Agence Nationale de la Recherche; FP7 Research infrastructures; Natural Sciences and Engineering Research Council of Canada; Infrastructures en Biologie Santé et Agronomie","keywords":"Human virome; Identification (biology); Throughput; Computational biology; Computer science; Biology; Genetics; Metagenomics; Gene; Operating system","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":[0.005684789,0.002181503,0.001999317,0.004418806,0.003924409,0.005000602,0.003532835,0.004860671,0.07390065],"category_scores_gemma":[0.08463986,0.001378522,0.001596661,0.003505843,0.002063651,0.002302688,0.002886962,0.009594642,0.04773819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003294637,"about_ca_system_score_gemma":0.007715364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01824684,"about_ca_topic_score_gemma":0.02043417,"domain_scores_codex":[0.9942722,0.0007453201,0.0008611131,0.0009228317,0.00279351,0.0004049396],"domain_scores_gemma":[0.9454938,0.01300751,0.002329787,0.004715445,0.03216845,0.00228506],"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":[0.00004049294,0.000007351394,0.00009456014,0.0001427546,0.0000167542,0.0001704327,0.00003533279,0.00005530308,0.0001569113,0.0004738873,0.9945892,0.004216982],"study_design_scores_gemma":[0.0000602132,0.00001925062,0.0007897356,0.0003117473,0.00006270103,0.0004836345,0.00008943012,0.0003768784,0.001214452,0.001486585,0.9950485,0.00005684709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003582228,0.0006675589,0.002538592,0.02937157,0.9569644,0.000038093,0.006093315,0.001558656,0.002409722],"genre_scores_gemma":[0.03755497,0.009424383,0.02999273,0.1091034,0.3194607,0.0007714183,0.03393549,0.01628342,0.4434734],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07390065,"threshold_uncertainty_score":0.2472223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325447480108272,"score_gpt":0.2689168028230055,"score_spread":0.2556623280219227,"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."}}