{"id":"W4410382440","doi":"10.1111/1755-0998.14111","title":"An Innovative Binding‐Protein‐Based <scp>dsRNA</scp> Extraction Method: Comparison of Cost‐Effectiveness of Virus Detection Methods Using High‐Throughput Sequencing","year":2025,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Plant Virus Research Studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; RNA silencing; RNA; Human virome; RNA extraction; Computational biology; Virus; Virology; Metagenomics; RNA interference; Gene; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002441919,0.0002228357,0.0006518139,0.000194999,0.0003325075,0.00002941084,0.0003102739,0.0002735719,0.000009931774],"category_scores_gemma":[0.001272026,0.0001212497,0.0001048709,0.001685855,0.0002842421,0.0001304136,0.0001317292,0.0003310242,0.000001222821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002182305,"about_ca_system_score_gemma":0.00005186917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001492265,"about_ca_topic_score_gemma":0.0007483357,"domain_scores_codex":[0.9949033,0.003504385,0.0004799305,0.0004709649,0.0002573114,0.0003841243],"domain_scores_gemma":[0.9959462,0.003013257,0.0004558807,0.0001175331,0.0004131584,0.00005398786],"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":[0.0001153528,0.0001364318,0.003032048,0.0000831884,0.0001493335,0.000007746361,0.0001598819,0.002307412,0.9787138,0.00007914638,0.000002885697,0.01521275],"study_design_scores_gemma":[0.0002612841,0.0005814582,0.03699359,0.0000923874,0.00004941412,0.000002804687,0.0008912922,0.003838953,0.9565464,0.0003648425,0.0002954533,0.00008217162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599293,0.0001736828,0.03880704,0.00002322536,0.00009956698,0.0007072241,0.00008062119,0.00005029492,0.0001290295],"genre_scores_gemma":[0.9820849,0.000003877922,0.0177374,0.00002338399,0.00001976269,0.00008163507,0.00003382572,0.000002672069,0.00001259121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03396153,"threshold_uncertainty_score":0.4944421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06802749064952544,"score_gpt":0.4091632769584359,"score_spread":0.3411357863089104,"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."}}