{"id":"W2903462833","doi":"10.1101/485532","title":"A universal set of primers to study animal associated microeukaryotic communities","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Tula Foundation","keywords":"Biology; In silico; Ribosomal RNA; 18S ribosomal RNA; Host (biology); Microbiome; Computational biology; Gene; Genetics; Evolutionary biology; Ecology","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":[0.003624627,0.003050377,0.002051689,0.002308154,0.001013889,0.001273156,0.00153732,0.002356234,0.004517457],"category_scores_gemma":[0.006563852,0.001966167,0.002507795,0.001671304,0.001119117,0.001027603,0.00151864,0.001823586,0.003422039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007407527,"about_ca_system_score_gemma":0.002201432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007970948,"about_ca_topic_score_gemma":0.002460776,"domain_scores_codex":[0.990971,0.001896228,0.0009937736,0.00392373,0.001530908,0.0006844957],"domain_scores_gemma":[0.9958982,0.001180548,0.0008406549,0.0004986761,0.00141057,0.0001713851],"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":[0.0004293539,0.0001786145,0.005093795,0.001478426,0.0001464833,0.0002546337,0.0003311245,0.001476966,0.9626689,0.001302657,0.001170886,0.02546826],"study_design_scores_gemma":[0.0001410985,0.001660896,0.01330094,0.0004480306,0.0005116113,0.002109593,0.0003012971,0.01413297,0.9140221,0.001391475,0.0518434,0.0001365671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.334489,0.008197567,0.6223833,0.0005042753,0.0009963221,0.003130853,0.01471427,0.004674989,0.01090929],"genre_scores_gemma":[0.1641238,0.001179933,0.8117824,0.0008837064,0.00007914103,0.003259227,0.0134943,0.0006834301,0.00451425],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004517457,"threshold_uncertainty_score":0.01916909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934165928685046,"score_gpt":0.2141859566111319,"score_spread":0.1948442973242815,"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."}}