{"id":"W152958577","doi":"10.2139/ssrn.2041145","title":"Architectures and Tools to Analyse the Impact of Climate Change on Hydrogeological Risk on Mediterranean Area","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Climate change; Mediterranean climate; Hydrogeology; Environmental resource management; Geography; Environmental planning; Environmental science; Water resource management; Physical geography; Engineering; Geology; Archaeology; Oceanography; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001777715,0.0004823097,0.0003192243,0.002624505,0.0003596516,0.002221822,0.0005457634,0.0005688128,0.001806384],"category_scores_gemma":[0.005956149,0.0002531067,0.0006398661,0.001545775,0.0006917551,0.00216317,0.001267623,0.0004793484,0.0002221133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285135,"about_ca_system_score_gemma":0.0009287644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01016345,"about_ca_topic_score_gemma":0.009656276,"domain_scores_codex":[0.9994187,0.0002267297,0.00005098468,0.0001194018,0.0001124632,0.00007167585],"domain_scores_gemma":[0.9977464,0.001066671,0.0004096463,0.0002538477,0.0003548538,0.0001685722],"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":[0.0001953409,0.0001384269,0.1247099,0.00006364254,0.0002434434,0.00018076,0.0004884269,0.7006506,0.002288685,0.0595258,0.001497182,0.1100178],"study_design_scores_gemma":[0.00001345829,0.00006645737,0.02381608,0.00001716008,0.00004274612,0.00005458399,0.0002420481,0.9207076,0.0006440782,0.05327183,0.001105608,0.0000183607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7070183,0.0002728156,0.2833503,0.000409327,0.00002472559,0.0001109522,0.0008878475,0.0009125491,0.007013258],"genre_scores_gemma":[0.9442539,0.0001044203,0.05415401,0.00002121152,0.00001768527,0.00007632599,0.000523432,0.00004982415,0.000799169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01016345,"threshold_uncertainty_score":0.0202086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499011588244798,"score_gpt":0.2729690519514609,"score_spread":0.2479789360690129,"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."}}