{"id":"W1916263570","doi":"10.1111/1752-1688.12307","title":"Improved Weather Generator Algorithm for Multisite Simulation of Precipitation and Temperature","year":2015,"lang":"en","type":"article","venue":"JAWRA Journal of the American Water Resources Association","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Environment Canada","keywords":"Resampling; Precipitation; Parametric statistics; Block (permutation group theory); USable; Perturbation (astronomy); Generator (circuit theory); Numerical weather prediction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007810434,0.00006960968,0.0001889038,0.00003896373,0.00007590323,0.00002157113,0.0001077774,0.00004985171,0.00001167184],"category_scores_gemma":[0.0001451226,0.0000393148,0.00009505775,0.0001312727,0.00006629306,0.0001624025,0.00004064863,0.00009010381,0.000001885123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000152624,"about_ca_system_score_gemma":0.000004161311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001050019,"about_ca_topic_score_gemma":0.00002661448,"domain_scores_codex":[0.9991279,0.0001766777,0.0002592108,0.00008605897,0.000237773,0.0001124167],"domain_scores_gemma":[0.9989295,0.00008941061,0.0007753445,0.00007764292,0.00008142165,0.00004666833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003351514,0.0001308593,0.5696134,0.00000651961,0.0004040183,8.084528e-7,0.02056456,0.2046788,0.1537952,7.14126e-7,0.001136853,0.04933315],"study_design_scores_gemma":[0.002888582,0.001087377,0.2426291,0.00002360127,0.000605475,0.00001002714,0.001203091,0.6873214,0.04853055,0.0008184012,0.01455254,0.0003298989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996197,0.00003327077,0.002981493,0.0005853907,0.00006609168,0.0001057122,0.000006088246,0.000002961105,0.00002202849],"genre_scores_gemma":[0.9956897,0.000005388276,0.003572058,0.0001628444,0.0001160522,0.000002346621,0.000002251346,0.000007230363,0.0004421675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4826427,"threshold_uncertainty_score":0.1603211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005945224694441592,"score_gpt":0.2307370713934558,"score_spread":0.2247918466990142,"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."}}