{"id":"W2896173991","doi":"10.3390/v10100566","title":"Current Perspectives on High-Throughput Sequencing (HTS) for Adventitious Virus Detection: Upstream Sample Processing and Library Preparation","year":2018,"lang":"en","type":"article","venue":"Viruses","topic":"Animal Virus Infections Studies","field":"Agricultural and Biological Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sanofi (Canada)","funders":"","keywords":"Throughput; Current (fluid); Upstream (networking); Sample (material); DNA sequencing; Computer science; Computational biology; Biology; Engineering; Telecommunications; Chromatography; Genetics; Chemistry; Gene; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00006524332,0.0001418597,0.0001315769,0.00002295725,0.0009142263,0.0001320662,0.00006995361,0.00004958898,0.0001094073],"category_scores_gemma":[0.0001064731,0.00006489854,0.00004625721,0.0002116509,0.0001724113,0.0005131318,0.00005606073,0.00006566566,0.00002607931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005375937,"about_ca_system_score_gemma":0.00001316277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004126171,"about_ca_topic_score_gemma":0.001128562,"domain_scores_codex":[0.9991704,0.00003564276,0.0001490091,0.0003582552,0.00009987453,0.0001867845],"domain_scores_gemma":[0.9995583,0.0001889115,0.00009058072,0.00004263531,0.00007893115,0.00004061544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009042672,0.0005384423,0.01072403,0.0000931956,0.0001020908,0.000001313243,0.004457343,0.00001701511,0.4419955,0.009537193,0.002153232,0.5294764],"study_design_scores_gemma":[0.0006916295,0.00842023,0.06887574,0.0003068036,0.0001311197,0.00001981483,0.008065381,0.0005029648,0.7115834,0.02106962,0.1792675,0.001065866],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996935,0.001216232,0.0004665262,0.000100997,0.0001774982,0.0003207821,0.0001334296,0.0002320328,0.0004174974],"genre_scores_gemma":[0.9978786,0.0003637331,0.000462903,0.0001211047,0.001045858,0.0000914416,0.00001036403,0.000002626561,0.00002338508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5284106,"threshold_uncertainty_score":0.7031582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04672373963354412,"score_gpt":0.2942350930044185,"score_spread":0.2475113533708744,"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."}}