{"id":"W4299348999","doi":"10.1016/j.quascirev.2022.107796","title":"Human deforestation outweighed climate as factors affecting Yellow River floods and erosion on the Chinese Loess Plateau since the 10th century","year":2022,"lang":"en","type":"article","venue":"Quaternary Science Reviews","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Loess plateau; Loess; Erosion; Deforestation (computer science); Geology; Physical geography; Plateau (mathematics); Hydrology (agriculture); Climate change; Earth science; Environmental science; Geomorphology; Geography; Oceanography; Soil science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.004291683,0.0001964118,0.000246177,0.000112787,0.004061207,0.0001082221,0.0008562081,0.00003961257,0.00067253],"category_scores_gemma":[0.0002178475,0.00008927586,0.00007208929,0.0006708311,0.001126603,0.0003177492,0.0001556588,0.0005185122,0.0002685183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007151873,"about_ca_system_score_gemma":0.00004806105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006401748,"about_ca_topic_score_gemma":0.0006151567,"domain_scores_codex":[0.9971046,0.001066321,0.000288353,0.0004603976,0.0005196348,0.0005607216],"domain_scores_gemma":[0.998741,0.0005454089,0.0002018876,0.0003759102,0.00002406955,0.0001117373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000193379,0.00001419712,0.9958301,0.00002256826,0.000003171328,0.00001410868,0.001952836,0.0002683168,0.0001096254,0.0001639528,0.00002463112,0.001577131],"study_design_scores_gemma":[0.0001224868,0.0003103107,0.9937283,0.00003593494,0.000009604278,0.00007386002,0.0007154943,0.003247137,0.00004338182,0.0005861572,0.0009873579,0.0001400017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948464,0.002082532,0.000002838514,0.0008815533,0.0004587093,0.0006454192,0.00001451793,0.00002302816,0.001045003],"genre_scores_gemma":[0.9974223,0.001960623,0.00002665164,0.0004136353,0.00003222495,0.000009169274,0.00003447755,0.000003306652,0.0000975465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004073835,"threshold_uncertainty_score":0.9972354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03095179062695207,"score_gpt":0.3009952379872557,"score_spread":0.2700434473603037,"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."}}