{"id":"W3047136713","doi":"10.3311/ppci.16301","title":"Copula Based Spatial Analysis of Drought Return Period in Southwest of Iran","year":2020,"lang":"en","type":"article","venue":"Periodica Polytechnica Civil Engineering","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Return period; Copula (linguistics); Climatology; Precipitation; Probabilistic logic; Period (music); Joint probability distribution; Environmental science; Statistics; Geography; Physical geography; Mathematics; Econometrics; Meteorology; Geology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002429229,0.0002109708,0.0006915188,0.0003001826,0.00004101332,0.00000949693,0.0004064036,0.0001765504,0.002949866],"category_scores_gemma":[0.000163038,0.0002173219,0.0003331715,0.002460974,0.0002286018,0.00008717909,0.0001434876,0.0002604137,0.00001709561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006036274,"about_ca_system_score_gemma":0.00002053733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001224041,"about_ca_topic_score_gemma":0.00381699,"domain_scores_codex":[0.9983071,0.00004208013,0.0005965934,0.0003949388,0.0003485008,0.0003107905],"domain_scores_gemma":[0.9992268,0.00005470681,0.0001657425,0.0003986958,0.000007527016,0.0001465268],"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":[0.0000715779,0.0001268711,0.4141146,0.00005395083,0.0002771755,0.00002627143,0.001975899,0.4679177,0.1150721,0.00002403938,0.00004241008,0.0002974329],"study_design_scores_gemma":[0.000457204,0.0001050176,0.210753,0.00002166019,0.0005733609,0.000001276,0.00005931608,0.7803485,0.00656151,0.000003059297,0.0008297688,0.0002863326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638365,0.0001274898,0.03365404,0.0008156396,0.00003168903,0.0001573794,0.00005334036,0.0001096227,0.00121429],"genre_scores_gemma":[0.9984323,0.000007910344,0.001370274,0.0001024718,0.00001846331,0.00001494955,0.00002621198,0.00001940995,0.000008053308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3124308,"threshold_uncertainty_score":0.9979616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008933611334982118,"score_gpt":0.2052073606305321,"score_spread":0.19627374929555,"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."}}