{"id":"W3016248424","doi":"","title":"Causes of lowland thermokarst formation and its impacts on carbon cycling and provisioning of ecosystem services","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Guelph","funders":"","keywords":"Thermokarst; Provisioning; Ecosystem services; Cycling; Ecosystem; Environmental science; Carbon fibers; Environmental resource management; Carbon cycle; Natural resource economics; Environmental protection; Business; Permafrost; Geography; Ecology; Computer science; Economics; Forestry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002887135,0.00008878038,0.0001473532,0.0006816777,0.0005057006,0.0006931673,0.0003033266,0.0002612175,0.003282802],"category_scores_gemma":[0.0007147214,0.0001217789,0.0002715595,0.0009115274,0.0008873614,0.0003922504,0.0009383261,0.0003204434,0.0001775508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587642,"about_ca_system_score_gemma":0.001063067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05293908,"about_ca_topic_score_gemma":0.1180555,"domain_scores_codex":[0.9998679,0.00001833073,0.00001200956,0.00002502004,0.00002152252,0.00005508077],"domain_scores_gemma":[0.9994571,0.00003562919,0.0002691289,0.00003363211,0.00009635995,0.0001081648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008212649,0.00002141358,0.9909163,0.00004194955,0.00003999007,0.0002027013,0.0005316858,0.0006791907,0.001761075,0.001078463,0.0006096011,0.004035405],"study_design_scores_gemma":[0.000002404874,0.00000986734,0.9976769,0.000007579519,0.000007759284,0.00005026225,0.0007030976,0.0004160435,0.0001401742,0.0002857033,0.0006977355,0.00000240069],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979129,0.0001719357,0.00004658302,0.0003360586,0.000003996,0.000004786894,0.0003566511,0.000007399972,0.001159462],"genre_scores_gemma":[0.9994606,0.00007338931,0.00003709551,0.00002539445,0.00000432466,0.000002765073,0.000142572,0.00000191321,0.0002520381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05293908,"threshold_uncertainty_score":0.1052619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205331152285723,"score_gpt":0.2295944470318649,"score_spread":0.2090613318032926,"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."}}