{"id":"W4408438545","doi":"10.5194/egusphere-egu25-6012","title":"Geomorphic and climate-driven vegetation dynamics in badlands &amp;#8211; A case study from Laval catchment, Draix-Bl&amp;#233;one 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004313581,0.0004598048,0.0008465708,0.00003999331,0.0004698547,0.0001148712,0.0003093366,0.0004785269,0.0001298631],"category_scores_gemma":[0.0001809154,0.0002338777,0.0001117637,0.000288689,0.0002992172,0.0001116129,0.001178607,0.0007187144,0.00002154776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001724709,"about_ca_system_score_gemma":0.00003473805,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02563993,"about_ca_topic_score_gemma":0.6577566,"domain_scores_codex":[0.9971464,0.0003216774,0.0006397918,0.001060123,0.0002577949,0.0005742647],"domain_scores_gemma":[0.9982517,0.001096059,0.0001617113,0.0001978478,0.000142231,0.0001504737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005985097,0.0007846592,0.9957141,0.0001038513,0.0001333739,0.0002531365,0.001587527,0.00004553372,0.0003433344,0.000154779,0.0000670282,0.0007528367],"study_design_scores_gemma":[0.000647187,0.0002736067,0.9867546,0.0001990163,0.0002054804,0.000032809,0.008533349,0.001590513,0.000003815619,0.0006201916,0.0004985609,0.0006408687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946698,0.0007231959,0.00005497715,0.002249118,0.0004129794,0.0008137005,0.0007138467,0.0001175805,0.0002447804],"genre_scores_gemma":[0.9971035,0.0003924258,0.0008872102,0.0003160847,0.0001806413,0.0002186378,0.0004012992,0.000002790157,0.000497382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6321167,"threshold_uncertainty_score":0.9808484,"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."}}