{"id":"W4365814740","doi":"10.1007/s00300-023-03131-x","title":"Metabarcoding inventory of an arctic tundra soil ecosystem reveals highly heterogeneous communities at a small scale","year":2023,"lang":"en","type":"article","venue":"Polar Biology","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Polar Knowledge Canada","keywords":"Tundra; Ecology; Biology; Arctic; Species richness; Biodiversity; Ecosystem; Fauna; Bay; Habitat; Arthropod; Invertebrate; Geography","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":[0.0003507429,0.0002452001,0.0002062747,0.002031381,0.000740131,0.0005637876,0.0002083836,0.0001502757,0.0004365397],"category_scores_gemma":[0.0004699691,0.000104688,0.0001806102,0.001729227,0.0002667321,0.0001028225,0.000292651,0.0001227126,0.0001298502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005498761,"about_ca_system_score_gemma":0.0008361337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1003406,"about_ca_topic_score_gemma":0.2201847,"domain_scores_codex":[0.9996785,0.00004321614,0.00002214175,0.0001126981,0.00009099805,0.00005239186],"domain_scores_gemma":[0.999501,0.00005288753,0.0001502451,0.00003743209,0.0001778552,0.00008049633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002012879,0.00003420286,0.7609951,0.00010951,0.0001395609,0.0001913156,0.001173526,0.0003417312,0.2160025,0.0001341361,0.0001767444,0.02050046],"study_design_scores_gemma":[0.000001939175,0.00004403762,0.9926749,0.00001344554,0.00003242671,0.0001917255,0.0004877554,0.0004270827,0.00469645,0.00001885702,0.00140711,0.000004176703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997198,0.0002295007,0.000740364,0.00001136793,0.000001885336,0.00001387488,0.001340347,0.00001231397,0.0004523536],"genre_scores_gemma":[0.993319,0.0001995695,0.003436623,0.0000221088,0.000003503127,0.0000175428,0.002575117,0.000005975695,0.0004204761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1003406,"threshold_uncertainty_score":0.1995131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03464832685178972,"score_gpt":0.2305724003235307,"score_spread":0.195924073471741,"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."}}