{"id":"W4320506888","doi":"10.17504/protocols.io.4r3l277k3g1y/v1","title":"Preparing multiplexed 16S/18S/ITS amplicons for the Illumina MiSeq v1","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Amplicon; Illumina dye sequencing; Amplicon sequencing; Computational biology; DNA sequencing; Biology; Genetics; 16S ribosomal RNA; Polymerase chain reaction; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003345772,0.002880674,0.002754994,0.003552376,0.001772573,0.001869329,0.002315769,0.001156782,0.05762873],"category_scores_gemma":[0.003684569,0.002599383,0.001863976,0.002488373,0.0007495296,0.0009979844,0.001719819,0.00377221,0.08264837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006655707,"about_ca_system_score_gemma":0.001253971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001131304,"about_ca_topic_score_gemma":0.004274734,"domain_scores_codex":[0.9968275,0.0005365567,0.0002362522,0.001118236,0.0008477882,0.0004336108],"domain_scores_gemma":[0.9987539,0.0002158125,0.00008819529,0.0004166881,0.0003465006,0.0001789382],"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":[0.0009410268,0.0003032449,0.001221251,0.001512162,0.0002134435,0.0003064648,0.0003775025,0.00115883,0.8973842,0.003488703,0.04141166,0.05168141],"study_design_scores_gemma":[0.0002124192,0.0007655569,0.006650193,0.0001954167,0.0002086628,0.0006753234,0.0001369873,0.004445571,0.5482759,0.00348389,0.4347077,0.0002422241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0352206,0.002069037,0.7701074,0.0003719515,0.001765612,0.009133502,0.1276937,0.02567897,0.02795909],"genre_scores_gemma":[0.02296468,0.001154881,0.7086518,0.000694337,0.0003434013,0.008461358,0.2165593,0.007727499,0.03344285],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05762873,"threshold_uncertainty_score":0.1927873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544516043516243,"score_gpt":0.3161948284596738,"score_spread":0.2907496680245114,"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."}}