{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001331319,0.0009971467,0.0006662739,0.001112954,0.0004429765,0.00084546,0.0008913997,0.001468125,0.001091957],"category_scores_gemma":[0.001069252,0.0004921242,0.0007783441,0.000760808,0.0004003673,0.0008931145,0.0005964601,0.001033222,0.001220982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003783996,"about_ca_system_score_gemma":0.0004015599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005961069,"about_ca_topic_score_gemma":0.00145138,"domain_scores_codex":[0.997926,0.0002975987,0.0001371788,0.0004241998,0.001134126,0.00008078197],"domain_scores_gemma":[0.9992433,0.0002577265,0.0001612024,0.00007399193,0.0002054763,0.00005838046],"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":[0.00006660623,0.00003668963,0.0003154044,0.0002226083,0.00002228843,0.00002275371,0.00001568503,0.0001758524,0.9896609,0.00006068436,0.0001159967,0.009284496],"study_design_scores_gemma":[0.00001708887,0.0003229508,0.003194067,0.00001605013,0.00005787291,0.0003137463,0.00002500439,0.005505718,0.986618,0.00006454656,0.003823062,0.0000418946],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5245968,0.01361244,0.4492594,0.0005409024,0.0005161064,0.00132544,0.00255651,0.002103858,0.005488473],"genre_scores_gemma":[0.423855,0.007890598,0.5541531,0.0006855807,0.0001618051,0.00102452,0.004077034,0.0003669444,0.007785312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001468125,"threshold_uncertainty_score":0.007040739,"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."}}