{"id":"W4408438545","doi":"10.5194/egusphere-egu25-6012","title":"Geomorphic and climate-driven vegetation dynamics in badlands – A case study from Laval catchment, Draix-Bléone critical zone observatory, SE France","year":2025,"lang":"en","type":"preprint","venue":"","topic":"African Botany and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drainage basin; Geology; Observatory; Vegetation (pathology); Climate change; Hydrology (agriculture); Geomorphology; Physical geography; Geography; Oceanography; Cartography; Physics; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004102026,0.0003277927,0.000300889,0.0007317851,0.0006596451,0.001247042,0.0007316532,0.0007623215,0.001189983],"category_scores_gemma":[0.0007633883,0.0001958315,0.0005612784,0.0008733631,0.0007847927,0.000460339,0.0004503124,0.0003522843,0.0001088108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003707933,"about_ca_system_score_gemma":0.001089659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3112133,"about_ca_topic_score_gemma":0.309917,"domain_scores_codex":[0.9998137,0.00006188636,0.000009239812,0.00003705761,0.00001852166,0.00005962239],"domain_scores_gemma":[0.9995733,0.0002244867,0.0000484403,0.00003180212,0.00004185891,0.00008015114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003826361,0.0008609751,0.6837741,0.0001185887,0.0001923724,0.007957504,0.001677393,0.2846251,0.002420197,0.002627864,0.002359739,0.01300354],"study_design_scores_gemma":[0.0001171882,0.0001974789,0.6342446,0.00004309147,0.00007462465,0.0004685619,0.003510848,0.3571178,0.000620388,0.0008118344,0.002736647,0.00005694702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989869,0.0000666075,0.0002243347,0.00006685971,0.000002334806,0.0000112646,0.0002479363,0.00001551486,0.0003780889],"genre_scores_gemma":[0.9991009,0.00005036881,0.0002771104,0.000008125525,0.000002783348,0.000009690319,0.0002327571,0.000003915519,0.000314484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3112133,"threshold_uncertainty_score":0.6188037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05363677646752936,"score_gpt":0.2926298572400133,"score_spread":0.238993080772484,"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."}}