{"id":"W4399110812","doi":"10.2139/ssrn.4846089","title":"Towards Better Understanding the Urban Environment and its Interactions with Regional Climate Change -The Wcrp Cordex Flagship Pilot Study Urb-Rcc","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Climate Change and Environmental Impact","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ouranos","funders":"Agencia Estatal de Investigación; Grand Équipement National De Calcul Intensif; Centre National de la Recherche Scientifique; Consejo Nacional de Investigaciones Científicas y Técnicas; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; University of the West of England; HORIZON EUROPE Framework Programme; Fonds Wetenschappelijk Onderzoek; Deutsches Zentrum für Luft- und Raumfahrt; Univerzita Karlova v Praze","keywords":"Climate change; Climatology; Political science; Oceanography","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001714812,0.0005848974,0.0003504737,0.00009294807,0.001147474,0.0004839478,0.0006692582,0.00009043245,0.0007686046],"category_scores_gemma":[0.000008108324,0.0003299672,0.0001424765,0.0001496339,0.0004112941,0.0002574885,0.001945714,0.004959243,0.0003237937],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005769885,"about_ca_system_score_gemma":0.0001234322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004449908,"about_ca_topic_score_gemma":0.00401873,"domain_scores_codex":[0.9956003,0.0002620892,0.0004260073,0.0007102657,0.0008570491,0.002144243],"domain_scores_gemma":[0.9988901,0.0001000914,0.0003229814,0.0004969861,0.000004112492,0.0001857096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01135359,0.01521915,0.4776623,0.001070334,0.01752855,0.001704677,0.2490285,0.0111673,0.007095775,0.03422212,0.02621932,0.1477284],"study_design_scores_gemma":[0.007188416,0.0272446,0.2328753,0.002032391,0.006306343,0.01348875,0.2195123,0.00924693,0.0001235011,0.4577455,0.01783306,0.006402875],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775938,0.004996747,0.0002971271,0.01370131,0.0004610842,0.001552884,0.00005394809,0.00005060298,0.001292542],"genre_scores_gemma":[0.9855976,0.01222509,0.00001039365,0.0006904519,0.0006539245,0.0001880697,0.00002042622,0.00009446262,0.0005195678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4235233,"threshold_uncertainty_score":0.9999152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1082298033345117,"score_gpt":0.2875158636424688,"score_spread":0.1792860603079571,"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."}}