{"id":"W6932041932","doi":"10.5683/sp3/kbpyix","title":"Crustacean zooplankton and macroinvertebrate traditional taxonomy abundance data and whole community COI eDNA metabarcoding data from 13 high elevation Rocky Mountain lakes [Canada, 2018]","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Parks Canada; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Groupe de recherche interuniversitaire en limnologie","keywords":"Invertebrate; Abundance (ecology); Zooplankton; Relative species abundance; Marsh; Cytochrome c oxidase subunit I; Biodiversity; Taxonomy (biology); Trout","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":[0.0008105668,0.001368409,0.0009887386,0.002681195,0.001566691,0.001282575,0.002430208,0.001184055,0.008733532],"category_scores_gemma":[0.002806372,0.0004868572,0.0007739828,0.005206527,0.0004331182,0.000395641,0.001213457,0.001172347,0.009213734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00404624,"about_ca_system_score_gemma":0.007484328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5601288,"about_ca_topic_score_gemma":0.7687227,"domain_scores_codex":[0.9993873,0.00004055958,0.00005671724,0.000175333,0.0001979572,0.0001420701],"domain_scores_gemma":[0.9985793,0.0001547748,0.0001342443,0.0001774554,0.0007969309,0.0001572856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002556037,0.0001042736,0.03474524,0.001507202,0.000210637,0.0001791281,0.000252151,0.001038976,0.0008616982,0.0006465964,0.9509017,0.0092968],"study_design_scores_gemma":[0.0004744004,0.00005296533,0.1632204,0.0006375795,0.0001825061,0.0002492752,0.0007119421,0.001603217,0.001383202,0.000746771,0.8306427,0.00009495847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002346033,0.0000623178,0.00005663407,0.00003571181,0.0000080193,0.00001826223,0.9969742,0.00008422597,0.0004145184],"genre_scores_gemma":[0.001560489,0.00002669992,0.0002680305,0.00001623658,0.000001640459,0.00005059878,0.9977571,0.000009777043,0.0003094409],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4398712,"threshold_uncertainty_score":0.8849233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08279126220797442,"score_gpt":0.235849815682796,"score_spread":0.1530585534748216,"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."}}