{"id":"W4244193122","doi":"10.4095/301186","title":"Climate Warming - National Winter Precipitation Scenario: 2050","year":2010,"lang":"en","type":"report","venue":"","topic":"Climate Change and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precipitation; Climate simulation; Environmental science; Climatology; Climate change; Geography; Climate model; Meteorology; Oceanography; Geology","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":[0.0003868645,0.001013463,0.0005014944,0.0006133848,0.0006211693,0.000655781,0.00103415,0.0005845914,0.006038949],"category_scores_gemma":[0.0004822009,0.0003415019,0.0007438769,0.001284233,0.000202949,0.0005379036,0.0003446309,0.0006699724,0.002083947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005340644,"about_ca_system_score_gemma":0.004658498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5027102,"about_ca_topic_score_gemma":0.5282372,"domain_scores_codex":[0.9998283,0.00004221665,0.000005934571,0.00001870906,0.00005056084,0.00005423828],"domain_scores_gemma":[0.9998509,0.000007846537,0.00001069324,0.000007899033,0.00009055911,0.00003208265],"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":[0.00216629,0.0004008212,0.05469965,0.0008441727,0.0008583615,0.0007882335,0.0001138631,0.5456409,0.001812413,0.008856341,0.3596857,0.02413307],"study_design_scores_gemma":[0.002343948,0.0007187247,0.2481286,0.000314304,0.0008092939,0.0008200645,0.0008451566,0.3850726,0.00713525,0.008126221,0.3453917,0.0002942027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2491238,0.001352725,0.003597272,0.001882731,0.0007233974,0.0003598542,0.6728908,0.001125658,0.06894381],"genre_scores_gemma":[0.5933633,0.001395739,0.008523392,0.0007037947,0.00006286577,0.0006167157,0.3795356,0.000161191,0.01563729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5027102,"threshold_uncertainty_score":0.9995681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05997423270432326,"score_gpt":0.3210887648430102,"score_spread":0.261114532138687,"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."}}