{"id":"W2293825804","doi":"10.5194/tc-10-1591-2016","title":"Effects of stratified active layers on high-altitude permafrost warming:a case study on the Qinghai–Tibet Plateau","year":2016,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Global Institute for Water Security; University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Permafrost; Active layer; Plateau (mathematics); Hydraulic conductivity; Environmental science; Altitude (triangle); Precipitation; Atmospheric sciences; Monsoon; Global warming; Thermal conductivity; Geology; Soil science; Climatology; Hydrology (agriculture); Climate change; Soil water; Layer (electronics); Materials science; Meteorology; Geotechnical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003345318,0.0002823269,0.0002749604,0.00002571255,0.0004245634,0.00006496553,0.0004009468,0.00009387122,0.003765091],"category_scores_gemma":[0.00003748986,0.0001238321,0.00009478973,0.0001814579,0.0001648812,0.0001223508,0.00002880024,0.0002510488,0.0004864936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001546326,"about_ca_system_score_gemma":0.00004229377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01563737,"about_ca_topic_score_gemma":0.09128424,"domain_scores_codex":[0.9982757,0.0002780124,0.0002521795,0.0003756622,0.0004101122,0.0004083202],"domain_scores_gemma":[0.9970496,0.002128593,0.0001619627,0.0005005185,0.00004313387,0.0001161903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004041848,0.002319721,0.7376491,0.0003790101,0.001266103,0.009886541,0.07006561,0.001623316,0.03004507,0.0008483876,0.02416876,0.1177066],"study_design_scores_gemma":[0.003813054,0.004532176,0.9463721,0.0004068564,0.0002381282,0.0002550013,0.02675369,0.0004153109,0.01251609,0.0004191534,0.003417795,0.0008606772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942068,0.0001046969,0.000004209533,0.0006588304,0.0005018507,0.0008843557,0.001654587,0.00003518012,0.001949447],"genre_scores_gemma":[0.9985335,0.00003916894,0.000003029035,0.000457109,0.0002091024,0.00001323603,0.00007487302,0.00001269611,0.000657281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.208723,"threshold_uncertainty_score":0.9971456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682503569006304,"score_gpt":0.2435545999503652,"score_spread":0.2167295642603022,"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."}}