{"id":"W4396716531","doi":"10.1016/j.catena.2024.108084","title":"Subalpine peatland development since the Last Glacial Maximum in subtropical China: Predominantly controlled by monsoonal climate and local topography","year":2024,"lang":"en","type":"article","venue":"CATENA","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"National Key Research and Development Program of China; China Postdoctoral Science Foundation; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou); Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Subtropics; Peat; Monsoon; Glacial period; Montane ecology; Physical geography; Geology; China; Climatology; Humid subtropical climate; Last Glacial Maximum; Geography; Geomorphology; Ecology; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0005030087,0.0001468091,0.0002616257,0.0001041112,0.0002324304,0.00006929147,0.0001709408,0.0001208909,0.0002151523],"category_scores_gemma":[0.00002914216,0.00008502918,0.00004691543,0.0002246928,0.0005542865,0.00007922168,0.00002955126,0.0003498034,0.0001141024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002145359,"about_ca_system_score_gemma":0.00008183602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001232772,"about_ca_topic_score_gemma":0.006280369,"domain_scores_codex":[0.9986368,0.0001758714,0.0002360651,0.0003062663,0.0001561508,0.000488803],"domain_scores_gemma":[0.9994645,0.0003042337,0.00002243928,0.00009572134,0.00001587967,0.00009730324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005262528,0.00001767247,0.9951094,0.0000431633,0.00003133657,0.0001506737,0.0002659977,0.00002379253,0.000006963046,0.0001614604,0.0002421996,0.003421077],"study_design_scores_gemma":[0.001338223,0.00009883038,0.990604,0.00002811612,0.00001375902,0.0001405467,0.00007699572,0.003813244,0.00003450125,0.0003927417,0.003337095,0.0001218913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883982,0.007421688,0.00008405461,0.002362621,0.000205763,0.0002731626,0.00002670824,0.000028471,0.001199313],"genre_scores_gemma":[0.9992388,0.000375094,0.00004550478,0.00008048463,0.00004228385,0.00001115786,0.0001091221,0.000002958496,0.0000945732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0108406,"threshold_uncertainty_score":0.3504593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007372578840439917,"score_gpt":0.2169438083607726,"score_spread":0.2095712295203326,"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."}}