{"id":"W3090620751","doi":"10.1139/cjfas-2020-0065","title":"Environmental variables associated with littoral macroinvertebrate community composition in Arctic lakes","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Wilfrid Laurier University","funders":"","keywords":"Permafrost; Coregonus clupeaformis; Arctic; Littoral zone; Ecology; Environmental science; Tundra; Benthic zone; Oceanography; Fishery; Geology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002766277,0.0001374659,0.0002398071,0.0006597026,0.0005944374,0.0005248602,0.00009766268,0.0001567426,0.0004864728],"category_scores_gemma":[0.0008952116,0.000154223,0.0001590274,0.0006519402,0.0002829978,0.0002225273,0.0004222343,0.0001283939,0.00005166148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006115204,"about_ca_system_score_gemma":0.0006700407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1514339,"about_ca_topic_score_gemma":0.4122252,"domain_scores_codex":[0.9998139,0.00004542647,0.00001567625,0.00003625045,0.00003425603,0.00005459969],"domain_scores_gemma":[0.9994342,0.0001127122,0.0001690162,0.00001806519,0.0001157589,0.0001501433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004424741,0.000007349419,0.9971519,0.000004699915,0.00003280064,0.00002548525,0.0002332496,0.00009340308,0.001295545,0.00001082013,0.00001928627,0.001081251],"study_design_scores_gemma":[3.049795e-7,0.000006766289,0.999632,0.000001521887,0.000003394839,0.000009846901,0.000191375,0.00009195673,0.00003364569,0.000004403277,0.00002377404,0.000001017534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998271,0.00003008488,0.0000180404,0.000002817868,3.18547e-7,5.880864e-7,0.00003977469,5.559406e-7,0.00008069124],"genre_scores_gemma":[0.9997602,0.00002965259,0.00004809791,0.000004682213,7.025716e-7,0.000001868191,0.00008447067,7.12996e-7,0.00006960293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1514339,"threshold_uncertainty_score":0.3011049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047933915137587,"score_gpt":0.1799538197943966,"score_spread":0.1594744806430207,"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."}}