{"id":"W4381708094","doi":"10.1139/facets-2022-0163","title":"Snow, ponds, trees, and frogs: how environmental processes mediate climate change impacts on four subarctic terrestrial and freshwater ecosystems","year":2023,"lang":"en","type":"article","venue":"FACETS","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Churchill Northern Studies Centre; University of Saskatchewan; University of Winnipeg","funders":"Environment and Climate Change Canada; Churchill Northern Studies Centre; Earthwatch Institute","keywords":"Subarctic climate; Climate change; Environmental science; Ecosystem; Permafrost; Terrestrial ecosystem; Freshwater ecosystem; Snowmelt; Vegetation (pathology); Environmental change; Ecology; Snow; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002135821,0.0002200506,0.0002280401,0.0001263338,0.000193274,0.0001980892,0.000100749,0.0001012377,0.0008422809],"category_scores_gemma":[0.00004383242,0.0001651452,0.00002791847,0.0001262838,0.0000630649,0.0003301384,0.00003536995,0.0001105376,0.0004531794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005897685,"about_ca_system_score_gemma":0.00001061443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155358,"about_ca_topic_score_gemma":0.1076198,"domain_scores_codex":[0.998682,0.00005987597,0.0001428823,0.0003501411,0.0002444238,0.0005207203],"domain_scores_gemma":[0.9993675,0.0001833302,0.00007065987,0.0001358775,0.000003351598,0.0002392597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001321984,0.00001497288,0.9879446,0.0001441424,0.00001847516,0.0001087967,0.002419418,0.000003152953,0.0006264188,3.706032e-7,0.003065117,0.005522359],"study_design_scores_gemma":[0.001806741,0.0006468433,0.9647046,0.0002309842,0.00004321385,0.00009396741,0.001257514,0.004420189,0.0005203818,0.00005688947,0.02570107,0.0005175662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989247,0.001003788,7.836935e-8,0.001315263,0.0004761651,0.0003510409,0.007420301,0.00006898094,0.0001173483],"genre_scores_gemma":[0.989134,0.006032149,0.000003210573,0.0002051069,0.0005552194,0.00001092046,0.003971904,0.00001108259,0.00007639035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1060662,"threshold_uncertainty_score":0.9222385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0551125637278813,"score_gpt":0.2334422007812443,"score_spread":0.178329637053363,"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."}}