{"id":"W4250857170","doi":"10.7287/peerj.preprints.3269","title":"Estimating intraspecific genetic diversity from community DNA metabarcoding data","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology; Haplotype; Context (archaeology); Amplicon; Evolutionary biology; Population; DNA sequencing; Genetics; Polymerase chain reaction; Allele; 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":[0.002632444,0.0007929769,0.000669375,0.004296217,0.0006102343,0.0009256665,0.0007376816,0.0007845175,0.0007869318],"category_scores_gemma":[0.007009957,0.0003725555,0.0009302713,0.002091278,0.0004948138,0.0007868621,0.001002165,0.0006829138,0.0005699791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005391799,"about_ca_system_score_gemma":0.0006231314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001767903,"about_ca_topic_score_gemma":0.003708688,"domain_scores_codex":[0.9976574,0.000546406,0.0001792305,0.0009996325,0.0004697202,0.0001475367],"domain_scores_gemma":[0.9965138,0.001292582,0.0009215721,0.000318474,0.0007366259,0.0002169109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003728288,0.0002319616,0.5905437,0.00112753,0.001062934,0.0002601067,0.001184022,0.01375574,0.2696438,0.001078141,0.0009139709,0.1198253],"study_design_scores_gemma":[0.00008492859,0.0005023654,0.7508681,0.0002507385,0.0006904405,0.0009947682,0.0006506297,0.1637767,0.06873668,0.005162496,0.008107398,0.0001747466],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8578348,0.0009625529,0.1356556,0.00006443317,0.0000237867,0.0002124715,0.003823028,0.0004364888,0.0009867527],"genre_scores_gemma":[0.6978534,0.0002640176,0.2933038,0.000066545,0.00002109899,0.0002430503,0.007888762,0.0001090081,0.0002502123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004296217,"threshold_uncertainty_score":0.01392186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042344728647755,"score_gpt":0.2617535819185301,"score_spread":0.1575191090537545,"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."}}