{"id":"W2951253163","doi":"10.1029/2019gl082187","title":"Climate Change Drives Widespread and Rapid Thermokarst Development in Very Cold Permafrost in the Canadian High Arctic","year":2019,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":321,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Northwest Territories","funders":"National Science Foundation of Sri Lanka","keywords":"Thermokarst; Permafrost; Arctic; Environmental science; Climate change; Physical geography; Vegetation (pathology); Climatology; Global warming; Geology; Atmospheric sciences; Oceanography; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002504908,0.000204767,0.0002446322,0.001062574,0.002302276,0.001025179,0.0004626549,0.0003367659,0.001260976],"category_scores_gemma":[0.000604669,0.000190634,0.0002428915,0.001398478,0.0007286217,0.0002715818,0.0005971034,0.0003016358,0.00008204825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01086003,"about_ca_system_score_gemma":0.01093251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.98047,"about_ca_topic_score_gemma":0.9932294,"domain_scores_codex":[0.9997608,0.00001253575,0.000007795583,0.00004787471,0.00006530518,0.00010576],"domain_scores_gemma":[0.9994246,0.00003503876,0.0001003129,0.00002091863,0.0003048225,0.0001142784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009629496,0.00003512479,0.9823403,0.00003377922,0.00005283825,0.0001313679,0.0008027661,0.001063119,0.007951077,0.0002352757,0.0009401985,0.006317792],"study_design_scores_gemma":[0.000001351294,0.000003238609,0.9986219,0.000004193682,0.000004827644,0.00001142368,0.0004151712,0.0003603846,0.0001667437,0.00001833553,0.0003877036,0.000004545007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973574,0.00009032922,0.00008870746,0.0001044375,0.00000413967,0.000006819164,0.0007407744,0.00001118731,0.001595985],"genre_scores_gemma":[0.999446,0.00004614055,0.00007357752,0.00001798334,0.00000137287,0.000001999064,0.0002537365,0.000002406181,0.0001568068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01953,"threshold_uncertainty_score":0.07879549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05964038370090108,"score_gpt":0.2747940155079751,"score_spread":0.215153631807074,"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."}}