{"id":"W4408485016","doi":"10.5194/egusphere-egu25-19327","title":"Climate Collaboratorium: A Transdisciplinary Approach to Modelling Groundwater Resources for Climate Adaptation in the Sorbian Community of Rietschen (Görlitz, Germany)","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Climate change adaptation; Groundwater resources; Groundwater; Climate change; Geography; Environmental resource management; Water resource management; Environmental planning; Climatology; Environmental science; Geology; Aquifer; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003034986,0.000903495,0.0009716928,0.0009391776,0.002043903,0.003412193,0.00241668,0.003463109,0.006301865],"category_scores_gemma":[0.00370968,0.0006775244,0.00164449,0.001796312,0.001211236,0.001871973,0.004560186,0.001539751,0.0005974028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002472793,"about_ca_system_score_gemma":0.006017754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0680818,"about_ca_topic_score_gemma":0.06688277,"domain_scores_codex":[0.9982783,0.001239549,0.00004354454,0.0001726374,0.0001124775,0.0001535886],"domain_scores_gemma":[0.9986718,0.0007329297,0.00008386016,0.00009481093,0.0001804548,0.0002362157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001514181,0.0001361345,0.004124995,0.0002140039,0.00009885897,0.0006805438,0.001580417,0.9111947,0.0008439417,0.05774077,0.007480722,0.0157536],"study_design_scores_gemma":[0.0001284021,0.0001403033,0.001216867,0.0001287159,0.00003903397,0.0001090585,0.001525425,0.930588,0.0004682644,0.02161949,0.04396245,0.00007394753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3043526,0.003762077,0.567434,0.008026727,0.0008251538,0.001456313,0.006903237,0.001444818,0.105795],"genre_scores_gemma":[0.6628751,0.001855078,0.3053985,0.000450728,0.0001276295,0.002489,0.002764742,0.0004284087,0.02361086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0680818,"threshold_uncertainty_score":0.135371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06036523336421048,"score_gpt":0.2677998730366952,"score_spread":0.2074346396724847,"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."}}