{"id":"W2891835629","doi":"10.1038/s41541-018-0085-1","title":"Author Correction: Selection and evaluation of an efficient method for the recovery of viral nucleic acids from complex biologicals","year":2018,"lang":"en","type":"erratum","venue":"npj Vaccines","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sanofi (Canada)","funders":"","keywords":"Nucleic acid; Selection (genetic algorithm); Computational biology; Computer science; Virology; Biology; Artificial intelligence; Biochemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001756855,0.0001935797,0.0004542191,0.00002596891,0.0002086501,0.0000218623,0.0002276212,0.0003152433,0.0009199083],"category_scores_gemma":[0.0005950924,0.00006553615,0.0001623043,0.0001890917,0.00005595534,0.00004694691,0.00008616807,0.0001169269,0.00000282163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000237963,"about_ca_system_score_gemma":0.00001466721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006126253,"about_ca_topic_score_gemma":0.0006911808,"domain_scores_codex":[0.9982034,0.0006012237,0.000410376,0.0004142017,0.0001942965,0.0001765044],"domain_scores_gemma":[0.998136,0.0008840453,0.0004706323,0.00007919932,0.000387491,0.00004266387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007392243,0.0001664899,0.002458036,0.00004644688,0.0001728029,7.540385e-8,0.00004478858,0.0003328712,0.01515135,0.000103786,0.7468397,0.2339444],"study_design_scores_gemma":[0.0002458628,0.002178759,0.6712447,0.00004564099,0.0006126934,9.673593e-7,0.0002335902,0.2633107,0.0001501888,0.003435629,0.05833834,0.0002028467],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867621,0.001211673,0.0007562589,0.001110887,0.007484059,0.001301906,0.0003876828,0.0000583418,0.0009271069],"genre_scores_gemma":[0.9729449,0.0004118271,0.00366831,0.0004582915,0.007924529,0.0002709162,0.004115654,0.000008510489,0.01019702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6885014,"threshold_uncertainty_score":0.9999934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09524879102109107,"score_gpt":0.3520536584401799,"score_spread":0.2568048674190888,"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."}}