{"id":"W4403483230","doi":"10.1007/s00300-024-03311-3","title":"High diversity of freshwater invertebrates on inuinnait nuna, the canadian arctic, revealed using mitochondrial DNA barcodes","year":2024,"lang":"en","type":"article","venue":"Polar Biology","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Government of Canada; Genome Canada; Ontario Genomics; University of Guelph; Polar Knowledge Canada","keywords":"Biology; Mitochondrial DNA; Invertebrate; Marine invertebrates; DNA barcoding; Arctic; The arctic; Diversity (politics); Evolutionary biology; Zoology; Ecology; Genetics; Gene; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003463769,0.0002931813,0.000231039,0.001919745,0.003441551,0.0009615573,0.0004876544,0.000175877,0.0009233856],"category_scores_gemma":[0.0009298991,0.0001846851,0.0002068721,0.003423936,0.0008435955,0.0002869838,0.0007194034,0.0002844561,0.0001402645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0101024,"about_ca_system_score_gemma":0.01422454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9893882,"about_ca_topic_score_gemma":0.9976834,"domain_scores_codex":[0.9995009,0.00002086406,0.00001540601,0.0001102803,0.0002360795,0.0001166247],"domain_scores_gemma":[0.9992234,0.00003744129,0.0001448211,0.00002279135,0.0004323959,0.0001392055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008725892,0.00002000584,0.9570258,0.0001641359,0.00007892996,0.0002917114,0.004103423,0.0002586706,0.007445757,0.0002388849,0.001767148,0.02851814],"study_design_scores_gemma":[0.000001029892,0.000007982138,0.9959171,0.00002917399,0.00001278433,0.00006290881,0.001321458,0.0001499298,0.0002184119,0.00002149188,0.002249379,0.000008207739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898708,0.0009720444,0.0004305629,0.0001638015,0.00001775092,0.00003258232,0.004295517,0.00002393633,0.004192966],"genre_scores_gemma":[0.9949368,0.0006552141,0.000949491,0.0001016735,0.000005627,0.00001818038,0.001836759,0.000008488126,0.001487836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01061177,"threshold_uncertainty_score":0.07329834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880273482612579,"score_gpt":0.2194640206540784,"score_spread":0.2006612858279526,"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."}}