{"id":"W4380854076","doi":"10.1177/00368504231181452","title":"Ecosystem responses of shallow thermokarst lakes to climate-driven hydrological change: Insights from long-term monitoring of periphytic diatom community composition at Old Crow Flats (Yukon, Canada)","year":2023,"lang":"en","type":"article","venue":"Science Progress","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Brock University; Parks Canada; University of Waterloo","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Government of Canada; Parks Canada; Polar Knowledge Canada","keywords":"Environmental science; Thermokarst; Diatom; Limnology; Climate change; Lake ecosystem; Ecosystem; Ecology; Hydrology (agriculture); Permafrost; Physical geography; Geography; Geology","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":[0.0001140507,0.0001467567,0.000181556,0.0004431299,0.0006502316,0.0005420325,0.0002705395,0.0002236367,0.0003711132],"category_scores_gemma":[0.0003029255,0.0001350989,0.0001549051,0.0006906721,0.0003861414,0.000236359,0.0004112896,0.0001541167,0.00006073364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002552405,"about_ca_system_score_gemma":0.001479682,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.63929,"about_ca_topic_score_gemma":0.8758793,"domain_scores_codex":[0.9999089,0.000007339957,0.000005333576,0.00002390484,0.00001877935,0.00003564087],"domain_scores_gemma":[0.9997743,0.00001537099,0.00005169081,0.000008758167,0.00008313623,0.00006671552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004525477,0.00001361739,0.9889457,0.00001246207,0.00002868159,0.00006489647,0.0006144266,0.0001376511,0.007597944,0.00001398632,0.00006281817,0.002462541],"study_design_scores_gemma":[4.641753e-7,0.000006247892,0.9993045,0.00000137829,0.000003747336,0.000009438472,0.0004032378,0.0001232475,0.0001001404,0.000002889852,0.00004352907,0.000001158157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997664,0.00001898281,0.00002082602,0.000005548171,2.69972e-7,0.000001896642,0.0001172435,8.060613e-7,0.00006804218],"genre_scores_gemma":[0.9995891,0.00002820669,0.00006230494,0.000009458246,3.760338e-7,0.000002885059,0.0001903583,5.734821e-7,0.0001167484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.36071,"threshold_uncertainty_score":0.7256685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06960817332665348,"score_gpt":0.2873305115960292,"score_spread":0.2177223382693757,"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."}}