{"id":"W4362576745","doi":"10.1002/ppp.2186","title":"Hotspots and trends in frozen soils research in 2010–2019","year":2023,"lang":"en","type":"article","venue":"Permafrost and Periglacial Processes","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; State Key Laboratory of Cryospheric Science; National Natural Science Foundation of China","keywords":"Permafrost; Tundra; Soil water; Context (archaeology); Physical geography; Arctic; Climate change; Plateau (mathematics); Taiga; Carbon cycle; Environmental science; Boreal; China; Earth science; Geology; Geography; Ecosystem; Soil science; Archaeology; Forestry; Ecology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007495484,0.000180449,0.0002633722,0.0009243327,0.0002359284,0.0001956689,0.0001560834,0.0001393534,0.002198447],"category_scores_gemma":[0.00006422387,0.0001565947,0.00001971881,0.002154179,0.0002465035,0.0003997527,0.00005194457,0.0003128493,0.0002121409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005801654,"about_ca_system_score_gemma":0.00006004664,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01222052,"about_ca_topic_score_gemma":0.1884299,"domain_scores_codex":[0.9982802,0.00009268735,0.0002424122,0.0004426312,0.0003001745,0.0006419262],"domain_scores_gemma":[0.9993572,0.0002809807,0.00003042199,0.0001214169,0.00005523336,0.0001547091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001055804,0.000015988,0.9615909,0.0001585892,0.000002303733,0.00007132147,0.00582677,0.00001426853,0.0002400713,0.000007048044,0.001714078,0.03025311],"study_design_scores_gemma":[0.0004804249,0.00008030009,0.9902207,0.00007084165,0.000002666802,0.00001578517,0.001496713,0.0009323648,0.00002925367,0.0005613922,0.005891446,0.0002181679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880096,0.003359084,7.095151e-8,0.001424596,0.0002178656,0.0001303355,0.002219713,0.00003919892,0.004599547],"genre_scores_gemma":[0.9897614,0.006416149,0.00000434792,0.0001169021,0.0002668587,0.000008494585,0.0021437,0.000008849558,0.001273334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1762094,"threshold_uncertainty_score":0.9987137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1139263546021948,"score_gpt":0.3433655762658802,"score_spread":0.2294392216636854,"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."}}