{"id":"W3183557069","doi":"10.1007/s10750-021-04661-3","title":"Use of artificial-substrate samplers to identify relations between periphytic diatom community composition and hydro-limnological conditions in shallow lakes of Old Crow Flats, Yukon Territory (Canada)","year":2021,"lang":"en","type":"article","venue":"Hydrobiologia","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Parks Canada; Polar Knowledge Canada","keywords":"Diatom; Snowmelt; Environmental science; Ecology; Substrate (aquarium); Limnology; Biomonitoring; Hydrology (agriculture); Biology; Geology; Surface runoff","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":[0.0002173613,0.0002173864,0.0001778082,0.0003797082,0.001109037,0.0006040038,0.0003899557,0.0002375392,0.0002690427],"category_scores_gemma":[0.0006546879,0.0001928074,0.0001244949,0.0005901395,0.0005215349,0.0001733901,0.0003351002,0.0002172331,0.00007552347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003179553,"about_ca_system_score_gemma":0.004013704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8016551,"about_ca_topic_score_gemma":0.9360914,"domain_scores_codex":[0.9998486,0.00002501753,0.000007912631,0.00004687938,0.00003190789,0.00003967504],"domain_scores_gemma":[0.999557,0.000058842,0.00006988926,0.00001730057,0.000183052,0.0001139646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002804987,0.0001079875,0.9735236,0.00002766498,0.00004965712,0.0000721803,0.001705936,0.0001810961,0.01753619,0.00003997748,0.00009230689,0.006382964],"study_design_scores_gemma":[0.000005369979,0.00006806756,0.9979146,0.000002799726,0.00001152597,0.00002920032,0.0007204652,0.0004457507,0.0006500194,0.000009074764,0.0001397358,0.000003358032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996221,0.00002255954,0.00007457761,0.000005198025,7.982984e-7,0.00001106204,0.00007686531,0.000001559699,0.0001851349],"genre_scores_gemma":[0.9985542,0.00004803728,0.000699201,0.00002266614,7.347478e-7,0.00001849501,0.0001956935,0.000001187365,0.0004598614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1983449,"threshold_uncertainty_score":0.399026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03909704677531849,"score_gpt":0.25568698500488,"score_spread":0.2165899382295615,"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."}}