{"id":"W1718588072","doi":"10.1002/ppp.1841","title":"Noah Modelling of the Permafrost Distribution and Characteristics in the West Kunlun Area, Qinghai‐Tibet Plateau, China","year":2015,"lang":"en","type":"article","venue":"Permafrost and Periglacial Processes","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Academy of Sciences; University of Toronto Scarborough; National Natural Science Foundation of China","keywords":"Permafrost; Plateau (mathematics); Borehole; Vegetation (pathology); Physical geography; Active layer; Geology; Hydrology (agriculture); Altitude (triangle); Environmental science; Geomorphology; Soil science; Geography; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004584533,0.0002437062,0.0002993212,0.00004636868,0.0003641831,0.0002053101,0.0002906774,0.0001185229,0.0002708194],"category_scores_gemma":[0.0001209825,0.000144818,0.00003997243,0.0003607464,0.0003470896,0.0003398455,0.00004787198,0.0002656706,0.000009076008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007082011,"about_ca_system_score_gemma":0.0001172348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002904798,"about_ca_topic_score_gemma":0.01192317,"domain_scores_codex":[0.9985841,0.0000858786,0.0003477994,0.0002947472,0.0003417211,0.0003457771],"domain_scores_gemma":[0.9992833,0.0001381368,0.0001552134,0.0001897221,0.0001087998,0.0001248497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001191805,0.00003379275,0.9833873,0.0001867591,0.000006082416,0.000006744439,0.01445536,0.0001887054,0.00008228211,0.0000266225,0.0001883662,0.001318795],"study_design_scores_gemma":[0.0004791016,0.000108965,0.9722879,0.0001149759,0.00003866537,0.00008198244,0.002764868,0.01787085,0.00007812908,0.0003583811,0.005535477,0.000280692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764271,0.001794201,0.00004077317,0.0008269854,0.0002698551,0.0002625611,0.01943118,0.00001433639,0.0009330349],"genre_scores_gemma":[0.9932621,0.001161016,0.000008688697,0.0002020012,0.0002679099,0.0000049701,0.005035915,0.000007122519,0.00005034252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01768215,"threshold_uncertainty_score":0.6653406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05387126505805378,"score_gpt":0.2331634594556388,"score_spread":0.179292194397585,"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."}}