{"id":"W2604472817","doi":"10.1093/bioinformatics/btx202","title":"EzMap: a simple pipeline for reproducible analysis of the human virome","year":2017,"lang":"en","type":"article","venue":"Bioinformatics","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Libin Cardiovascular Institute of Alberta; Alberta Children's Hospital","funders":"Alberta Children's Hospital Research Institute; Canada Foundation for Innovation","keywords":"Human virome; Computer science; Metagenomics; Computational biology; Pipeline (software); Workstation; Data mining; Biology; Programming language; Genetics","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":[0.003638945,0.003367264,0.002046444,0.00344624,0.002049075,0.003415596,0.003470786,0.001412435,0.03929223],"category_scores_gemma":[0.01007069,0.002084421,0.002843763,0.002682056,0.0007824875,0.002720546,0.004795326,0.003722255,0.03030737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009701627,"about_ca_system_score_gemma":0.002774991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002933529,"about_ca_topic_score_gemma":0.004284323,"domain_scores_codex":[0.9980265,0.0003467809,0.0001459406,0.0007778343,0.0004907001,0.0002122139],"domain_scores_gemma":[0.9977142,0.00101952,0.0002032254,0.0004340343,0.0004253814,0.0002036129],"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":[0.002408776,0.000217937,0.005913291,0.003867796,0.001173243,0.0007973866,0.001272129,0.009607001,0.08292333,0.01011622,0.6600907,0.2216121],"study_design_scores_gemma":[0.001196098,0.0003160527,0.018244,0.0004781346,0.0005206704,0.001246773,0.0005553294,0.1503077,0.1034184,0.06039296,0.6626177,0.0007062574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.009346857,0.0008686642,0.5106636,0.0009205642,0.0005380938,0.0007893766,0.1138891,0.3560205,0.006963295],"genre_scores_gemma":[0.03965112,0.0008575753,0.7124132,0.000899002,0.0001990796,0.003667837,0.1829267,0.05392084,0.005464728],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03929223,"threshold_uncertainty_score":0.1314456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03020564720966971,"score_gpt":0.2895009863056965,"score_spread":0.2592953390960268,"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."}}