{"id":"W3200808964","doi":"10.1038/s41598-021-97867-3","title":"High-throughput identification of viral termini and packaging mechanisms in virome datasets using PhageTermVirome","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"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); Computational biology; Throughput; Computer science; Biology; Genetics; Metagenomics; Gene","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":[0.00341859,0.002452265,0.001853171,0.003831137,0.001754666,0.003273489,0.001672013,0.002320321,0.0017708],"category_scores_gemma":[0.007444552,0.001020772,0.004258302,0.002794251,0.00071461,0.002646491,0.002993744,0.002385909,0.002563597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030551,"about_ca_system_score_gemma":0.001159149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002366224,"about_ca_topic_score_gemma":0.003388355,"domain_scores_codex":[0.9980549,0.0003928597,0.0001230211,0.0009163981,0.0003578852,0.0001549971],"domain_scores_gemma":[0.9980489,0.0009301954,0.0001811567,0.000441664,0.0002476466,0.0001504029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006011492,0.0014261,0.1048078,0.0114424,0.005606089,0.002010947,0.003133361,0.08367286,0.3970517,0.00839956,0.1587381,0.2176997],"study_design_scores_gemma":[0.0009608452,0.0008439377,0.1031221,0.0008816753,0.001198024,0.001645149,0.001584753,0.5457842,0.1390755,0.03423074,0.1698788,0.0007942762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4082719,0.00493886,0.1504629,0.001083057,0.0007185474,0.000650901,0.3451577,0.08419186,0.004524319],"genre_scores_gemma":[0.1398532,0.0009373885,0.3014877,0.0005471661,0.0001029196,0.0007592724,0.5496932,0.005636445,0.0009827402],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003831137,"threshold_uncertainty_score":0.01807946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103407548626796,"score_gpt":0.256520924431466,"score_spread":0.2454868489451981,"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."}}